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(v1.7.1.9023) Removed filter_ functions, new set_ab_names(), ATC code update, ab selector update, fixes #46 and fixed #47

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dr. M.S. (Matthijs) Berends
2021-08-16 21:54:34 +02:00
parent 4e1efd902c
commit a2d249962f
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180
docs/reference/AMR-deprecated.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Deprecated Functions — AMR-deprecated" />
<meta property="og:description" content="These functions are so-called 'Deprecated'. 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 Using the functions will give a warning with the name of the function it has been replaced by (if there is one)." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -250,180 +253,7 @@
<p>These functions are so-called '<a href='https://rdrr.io/r/base/Deprecated.html'>Deprecated</a>'. <strong>They will be removed in a future release.</strong> Using the functions will give a warning with the name of the function it has been replaced by (if there is one).</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>p_symbol</span><span class='op'>(</span><span class='va'>p</span>, emptychar <span class='op'>=</span> <span class='st'>" "</span><span class='op'>)</span>
<span class='fu'>filter_first_weighted_isolate</span><span class='op'>(</span>
x <span class='op'>=</span> <span class='cn'>NULL</span>,
col_date <span class='op'>=</span> <span class='cn'>NULL</span>,
col_patient_id <span class='op'>=</span> <span class='cn'>NULL</span>,
col_mo <span class='op'>=</span> <span class='cn'>NULL</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>key_antibiotics</span><span class='op'>(</span>
x <span class='op'>=</span> <span class='cn'>NULL</span>,
col_mo <span class='op'>=</span> <span class='cn'>NULL</span>,
universal_1 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"amoxicillin"</span><span class='op'>)</span>,
universal_2 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"amoxicillin/clavulanic acid"</span><span class='op'>)</span>,
universal_3 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"cefuroxime"</span><span class='op'>)</span>,
universal_4 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"piperacillin/tazobactam"</span><span class='op'>)</span>,
universal_5 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"ciprofloxacin"</span><span class='op'>)</span>,
universal_6 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"trimethoprim/sulfamethoxazole"</span><span class='op'>)</span>,
GramPos_1 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"vancomycin"</span><span class='op'>)</span>,
GramPos_2 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"teicoplanin"</span><span class='op'>)</span>,
GramPos_3 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"tetracycline"</span><span class='op'>)</span>,
GramPos_4 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"erythromycin"</span><span class='op'>)</span>,
GramPos_5 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"oxacillin"</span><span class='op'>)</span>,
GramPos_6 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"rifampin"</span><span class='op'>)</span>,
GramNeg_1 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"gentamicin"</span><span class='op'>)</span>,
GramNeg_2 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"tobramycin"</span><span class='op'>)</span>,
GramNeg_3 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"colistin"</span><span class='op'>)</span>,
GramNeg_4 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"cefotaxime"</span><span class='op'>)</span>,
GramNeg_5 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"ceftazidime"</span><span class='op'>)</span>,
GramNeg_6 <span class='op'>=</span> <span class='fu'><a href='guess_ab_col.html'>guess_ab_col</a></span><span class='op'>(</span><span class='va'>x</span>, <span class='st'>"meropenem"</span><span class='op'>)</span>,
warnings <span class='op'>=</span> <span class='cn'>TRUE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>key_antibiotics_equal</span><span class='op'>(</span>
<span class='va'>y</span>,
<span class='va'>z</span>,
type <span class='op'>=</span> <span class='st'>"keyantimicrobials"</span>,
ignore_I <span class='op'>=</span> <span class='cn'>TRUE</span>,
points_threshold <span class='op'>=</span> <span class='fl'>2</span>,
info <span class='op'>=</span> <span class='cn'>FALSE</span>,
na.rm <span class='op'>=</span> <span class='cn'>TRUE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_ab_class</span><span class='op'>(</span>
<span class='va'>x</span>,
<span class='va'>ab_class</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_aminoglycosides</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_betalactams</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_carbapenems</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_1st_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_2nd_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_3rd_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_4th_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_5th_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_fluoroquinolones</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_glycopeptides</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_macrolides</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_oxazolidinones</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_penicillins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_tetracyclines</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span></code></pre></div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>p_symbol</span><span class='op'>(</span><span class='va'>p</span>, emptychar <span class='op'>=</span> <span class='st'>" "</span><span class='op'>)</span></code></pre></div>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>

5
docs/reference/AMR.html
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@ -51,6 +51,9 @@
<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.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

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docs/reference/WHOCC.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="WHOCC: WHO Collaborating Centre for Drug Statistics Methodology — WHOCC" />
<meta property="og:description" content="All antimicrobial drugs and their official names, ATC codes, ATC groups and defined daily dose (DDD) are included in this package, using the WHO Collaborating Centre for Drug Statistics Methodology." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/WHONET.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Data Set with 500 Isolates - WHONET Example — WHONET" />
<meta property="og:description" content="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 antibiotic results are from our example_isolates data set. All patient names are created using online surname generators and are only in place for practice purposes." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/ab_from_text.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Retrieve Antimicrobial Drug Names and Doses from Clinical Text — ab_from_text" />
<meta property="og:description" content="Use this function on e.g. clinical texts from health care records. It returns a list with all antimicrobial drugs, doses and forms of administration found in the texts." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

67
docs/reference/ab_property.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Get Properties of an Antibiotic — ab_property" />
<meta property="og:description" content="Use these functions to return a specific property of an antibiotic from the antibiotics data set. All input values will be evaluated internally with as.ab()." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -250,7 +253,14 @@
<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>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>ab_name</span><span class='op'>(</span><span class='va'>x</span>, language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>, tolower <span class='op'>=</span> <span class='cn'>FALSE</span>, snake_case <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span><span class='op'>)</span>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>ab_name</span><span class='op'>(</span><span class='va'>x</span>, language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>, tolower <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span><span class='op'>)</span>
<span class='fu'>set_ab_names</span><span class='op'>(</span>
<span class='va'>data</span>,
property <span class='op'>=</span> <span class='st'>"name"</span>,
language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>,
snake_case <span class='op'>=</span> <span class='va'>property</span> <span class='op'>==</span> <span class='st'>"name"</span>
<span class='op'>)</span>
<span class='fu'>ab_atc</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span>
@ -268,7 +278,9 @@
<span class='fu'>ab_loinc</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='va'>x</span>, administration <span class='op'>=</span> <span class='st'>"oral"</span>, units <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span><span class='op'>)</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='va'>x</span>, administration <span class='op'>=</span> <span class='st'>"oral"</span>, <span class='va'>...</span><span class='op'>)</span>
<span class='fu'>ab_ddd_units</span><span class='op'>(</span><span class='va'>x</span>, administration <span class='op'>=</span> <span class='st'>"oral"</span>, <span class='va'>...</span><span class='op'>)</span>
<span class='fu'>ab_info</span><span class='op'>(</span><span class='va'>x</span>, language <span class='op'>=</span> <span class='fu'><a href='translate.html'>get_locale</a></span><span class='op'>(</span><span class='op'>)</span>, <span class='va'>...</span><span class='op'>)</span>
@ -291,30 +303,30 @@
<th>tolower</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether the first <a href='https://rdrr.io/r/base/character.html'>character</a> of every output should be transformed to a lower case <a href='https://rdrr.io/r/base/character.html'>character</a>. This will lead to e.g. "polymyxin B" and not "polymyxin b".</p></td>
</tr>
<tr>
<th>snake_case</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether the names should be returned in so-called <a href='https://en.wikipedia.org/wiki/Snake_case'>snake case</a>: in lower case and all spaces/slashes replaced with an underscore (<code>_</code>). This is useful for column renaming.</p></td>
</tr>
<tr>
<th>...</th>
<td><p>other arguments passed on to <code><a href='as.ab.html'>as.ab()</a></code></p></td>
</tr>
<tr>
<th>data</th>
<td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> of which the columns need to be renamed</p></td>
</tr>
<tr>
<th>property</th>
<td><p>one of the column names of one of the <a href='antibiotics.html'>antibiotics</a> data set: <code>vector_or(colnames(antibiotics), sort = FALSE)</code>.</p></td>
</tr>
<tr>
<th>snake_case</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether the names should be in so-called <a href='https://en.wikipedia.org/wiki/Snake_case'>snake case</a>: in lower case and all spaces/slashes replaced with an underscore (<code>_</code>)</p></td>
</tr>
<tr>
<th>administration</th>
<td><p>way of administration, either <code>"oral"</code> or <code>"iv"</code></p></td>
</tr>
<tr>
<th>units</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether the units instead of the DDDs itself must be returned, see <em>Examples</em></p></td>
</tr>
<tr>
<th>open</th>
<td><p>browse the URL using <code><a href='https://rdrr.io/r/utils/browseURL.html'>utils::browseURL()</a></code></p></td>
</tr>
<tr>
<th>property</th>
<td><p>one of the column names of one of the <a href='antibiotics.html'>antibiotics</a> data set</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
@ -322,8 +334,9 @@
<ul>
<li><p>An <a href='https://rdrr.io/r/base/integer.html'>integer</a> in case of <code>ab_cid()</code></p></li>
<li><p>A named <a href='https://rdrr.io/r/base/list.html'>list</a> in case of <code>ab_info()</code> and multiple <code>ab_synonyms()</code>/<code>ab_tradenames()</code></p></li>
<li><p>A named <a href='https://rdrr.io/r/base/list.html'>list</a> in case of <code>ab_info()</code> and multiple <code>ab_atc()</code>/<code>ab_synonyms()</code>/<code>ab_tradenames()</code></p></li>
<li><p>A <a href='https://rdrr.io/r/base/double.html'>double</a> in case of <code>ab_ddd()</code></p></li>
<li><p>A <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> in case of <code>set_ab_names()</code></p></li>
<li><p>A <a href='https://rdrr.io/r/base/character.html'>character</a> in all other cases</p></li>
</ul>
@ -331,6 +344,7 @@
<p>All output <a href='translate.html'>will be translated</a> where possible.</p>
<p>The function <code>ab_url()</code> will return the direct URL to the official WHO website. A warning will be returned if the required ATC code is not available.</p>
<p>The function <code>set_ab_names()</code> is a special column renaming function for <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a>s. It renames columns names that resemble antimicrobial drugs. It always makes sure that the new column names are unique. If <code>property = "atc"</code> is set, preference is given to ATC codes from the J-group.</p>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>
@ -377,10 +391,10 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
tolower <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</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='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"oral"</span><span class='op'>)</span> <span class='co'># 1</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"oral"</span>, units <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> <span class='co'># "g"</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"iv"</span><span class='op'>)</span> <span class='co'># 1</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"iv"</span>, units <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> <span class='co'># "g"</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"oral"</span><span class='op'>)</span> <span class='co'># 1.5</span>
<span class='fu'>ab_ddd_units</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"oral"</span><span class='op'>)</span> <span class='co'># "g"</span>
<span class='fu'>ab_ddd</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"iv"</span><span class='op'>)</span> <span class='co'># 3</span>
<span class='fu'>ab_ddd_units</span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"iv"</span><span class='op'>)</span> <span class='co'># "g"</span>
<span class='fu'>ab_info</span><span class='op'>(</span><span class='st'>"AMX"</span><span class='op'>)</span> <span class='co'># all properties as a list</span>
@ -397,6 +411,19 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='fu'>ab_atc</span><span class='op'>(</span><span class='st'>"cephtriaxone"</span><span class='op'>)</span>
<span class='fu'>ab_atc</span><span class='op'>(</span><span class='st'>"cephthriaxone"</span><span class='op'>)</span>
<span class='fu'>ab_atc</span><span class='op'>(</span><span class='st'>"seephthriaaksone"</span><span class='op'>)</span>
<span class='co'># use set_ab_names() for renaming columns</span>
<span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>colnames</a></span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/r/base/colnames.html'>colnames</a></span><span class='op'>(</span><span class='fu'>set_ab_names</span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># \donttest{</span>
<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>set_ab_names</span><span class='op'>(</span><span class='op'>)</span>
<span class='co'># set_ab_names() works with any AB property:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>set_ab_names</span><span class='op'>(</span><span class='st'>"atc"</span><span class='op'>)</span>
<span class='op'>}</span>
<span class='co'># }</span>
</code></pre></div>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">

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<meta property="og:title" content="Age in Years of Individuals — age" />
<meta property="og:description" content="Calculates age in years based on a reference date, which is the sytem date at default." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
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<meta property="og:title" content="Split Ages into Age Groups — age_groups" />
<meta property="og:description" content="Split ages into age groups defined by the split argument. This allows for easier demographic (antimicrobial resistance) analysis." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

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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>Antibiotic Class Selectors — antibiotic_class_selectors • AMR (for R)</title>
<title>Antibiotic Selectors — antibiotic_class_selectors • AMR (for R)</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -48,9 +48,12 @@
<link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script>
<meta property="og:title" content="Antibiotic Class Selectors — antibiotic_class_selectors" />
<meta property="og:description" content="These functions allow for filtering rows and selecting columns based on antibiotic test results that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations." />
<meta property="og:title" content="Antibiotic Selectors — antibiotic_class_selectors" />
<meta property="og:description" content="These functions allow for filtering rows and selecting columns based on antibiotic test results that are of a specific antibiotic class or group, without the need to define the columns or antibiotic abbreviations. In short, if you have a column name that resembles an antimicrobial agent, it will be picked up by any of these functions that matches its pharmaceutical class: &quot;cefazolin&quot;, &quot;CZO&quot; and &quot;J01DB04&quot; will all be picked up by cephalosporins()." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -241,21 +244,31 @@
<div class="row">
<div class="col-md-9 contents">
<div class="page-header">
<h1>Antibiotic Class Selectors</h1>
<h1>Antibiotic Selectors</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/ab_class_selectors.R'><code>R/ab_class_selectors.R</code></a></small>
<div class="hidden name"><code>antibiotic_class_selectors.Rd</code></div>
</div>
<div class="ref-description">
<p>These functions allow for filtering rows and selecting columns based on antibiotic test results that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.</p>
<p>These functions allow for filtering rows and selecting columns based on antibiotic test results that are of a specific antibiotic class or group, without the need to define the columns or antibiotic abbreviations. In short, if you have a column name that resembles an antimicrobial agent, it will be picked up by any of these functions that matches its pharmaceutical class: "cefazolin", "CZO" and "J01DB04" will all be picked up by <code>cephalosporins()</code>.</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='fu'>ab_class</span><span class='op'>(</span><span class='va'>ab_class</span>, only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>, only_treatable <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'>ab_selector</span><span class='op'>(</span><span class='va'>filter</span>, only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>, only_treatable <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'>administrable_per_os</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>administrable_iv</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>aminoglycosides</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>, only_treatable <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'>aminopenicillins</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>antifungals</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>antimycobacterials</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>betalactams</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>, only_treatable <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'>carbapenems</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>, only_treatable <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
@ -294,6 +307,8 @@
<span class='fu'>tetracyclines</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>trimethoprims</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>ureidopenicillins</span><span class='op'>(</span>only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></code></pre></div>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
@ -311,39 +326,52 @@
<th>only_treatable</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether agents that are only for laboratory tests should be excluded (defaults to <code>TRUE</code>), such as gentamicin-high (<code>GEH</code>) and imipenem/EDTA (<code>IPE</code>)</p></td>
</tr>
<tr>
<th>filter</th>
<td><p>an <a href='https://rdrr.io/r/base/expression.html'>expression</a> to be evaluated in the <a href='antibiotics.html'>antibiotics</a> data set, such as <code>name %like% "trim"</code></p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>(internally) a <a href='https://rdrr.io/r/base/character.html'>character</a> vector of column names, with additional class <code>"ab_selector"</code></p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>These functions can be used in data set calls for selecting columns and filtering rows. They are heavily inspired by the <a href='https://tidyselect.r-lib.org/reference/language.html'>Tidyverse selection helpers</a> such as <code><a href='https://tidyselect.r-lib.org/reference/everything.html'>everything()</a></code>, but also work in base <span style="R">R</span> and not only in <code>dplyr</code> verbs. Nonetheless, they are very convenient to use with <code>dplyr</code> functions such as <code><a href='https://dplyr.tidyverse.org/reference/select.html'>select()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>, see <em>Examples</em>.</p>
<p>All columns in the data in which these functions are called will be searched for known antibiotic names, abbreviations, brand names, and codes (ATC, EARS-Net, WHO, etc.) according to the <a href='antibiotics.html'>antibiotics</a> data set. This means that a selector such as <code>aminoglycosides()</code> will pick up column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc. Use the <code>ab_class()</code> function to filter/select on a manually defined antibiotic class.</p>
<h2 class="hasAnchor" id="full-list-of-supported-agents"><a class="anchor" href="#full-list-of-supported-agents"></a>Full list of supported agents</h2>
<p>All columns in the data in which these functions are called will be searched for known antibiotic names, abbreviations, brand names, and codes (ATC, EARS-Net, WHO, etc.) according to the <a href='antibiotics.html'>antibiotics</a> data set. This means that a selector such as <code>aminoglycosides()</code> will pick up column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc.</p>
<p>The <code>ab_class()</code> function can be used to filter/select on a manually defined antibiotic class. It searches for results in the <a href='antibiotics.html'>antibiotics</a> data set within the columns <code>name</code>, <code>atc_group1</code> and <code>atc_group2</code>.</p>
<p>The <code>ab_selector()</code> function can be used to internally filter the <a href='antibiotics.html'>antibiotics</a> data set on any results, see <em>Examples</em>. It allows for filtering on a (part of) a certain name, and/or a group name or even a minimum of DDDs for oral treatment. This function yields the highest flexibility, but is also the least user-friendly, since it requires a hard-coded filter to set.</p>
<p>The <code>administrable_per_os()</code> and <code>administrable_iv()</code> functions also rely on the <a href='antibiotics.html'>antibiotics</a> data set - antibiotic columns will be matched where a DDD (defined daily dose) for resp. oral and IV treatment is available in the <a href='antibiotics.html'>antibiotics</a> data set.</p>
<h2 class="hasAnchor" id="full-list-of-supported-antibiotic-classes"><a class="anchor" href="#full-list-of-supported-antibiotic-classes"></a>Full list of supported (antibiotic) classes</h2>
<ul>
<li><p><code>aminoglycosides()</code> can select amikacin (AMK), amikacin/fosfomycin (AKF), amphotericin B-high (AMH), apramycin (APR), arbekacin (ARB), astromicin (AST), bekanamycin (BEK), dibekacin (DKB), framycetin (FRM), gentamicin (GEN), gentamicin-high (GEH), habekacin (HAB), hygromycin (HYG), isepamicin (ISE), kanamycin (KAN), kanamycin-high (KAH), kanamycin/cephalexin (KAC), micronomicin (MCR), neomycin (NEO), netilmicin (NET), pentisomicin (PIM), plazomicin (PLZ), propikacin (PKA), ribostamycin (RST), sisomicin (SIS), streptoduocin (STR), streptomycin (STR1), streptomycin-high (STH), tobramycin (TOB) and tobramycin-high (TOH)</p></li>
<li><p><code>aminopenicillins()</code> can select amoxicillin (AMX) and ampicillin (AMP)</p></li>
<li><p><code>betalactams()</code> can select amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), biapenem (BIA), carbenicillin (CRB), carindacillin (CRN), cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefaloridine (RID), cefamandole (MAN), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (Cefcatacol) (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/enzyme inhibitor (CEI), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), cefuroxime (CXM), cefuroxime axetil (CXA), cephalexin (LEX), cephalothin (CEP), cephapirin (HAP), cephradine (CED), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), doripenem (DOR), epicillin (EPC), ertapenem (ETP), flucloxacillin (FLC), hetacillin (HET), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), latamoxef (LTM), lenampicillin (LEN), loracarbef (LOR), mecillinam (Amdinocillin) (MEC), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), metampicillin (MTM), methicillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), panipenem (PAN), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), phenethicillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), tebipenem (TBP), temocillin (TEM), ticarcillin (TIC) and ticarcillin/clavulanic acid (TCC)</p></li>
<li><p><code>carbapenems()</code> can select biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA) and tebipenem (TBP)</p></li>
<li><p><code>cephalosporins()</code> can select cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefaloridine (RID), cefamandole (MAN), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (Cefcatacol) (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/enzyme inhibitor (CEI), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), cefuroxime (CXM), cefuroxime axetil (CXA), cephalexin (LEX), cephalothin (CEP), cephapirin (HAP), cephradine (CED), latamoxef (LTM) and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins_1st()</code> can select cefacetrile (CAC), cefadroxil (CFR), cefaloridine (RID), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefroxadine (CRD), ceftezole (CTL), cephalexin (LEX), cephalothin (CEP), cephapirin (HAP) and cephradine (CED)</p></li>
<li><p><code>cephalosporins_2nd()</code> can select cefaclor (CEC), cefamandole (MAN), cefmetazole (CMZ), cefonicid (CID), ceforanide (CND), cefotetan (CTT), cefotiam (CTF), cefoxitin (FOX), cefoxitin screening (FOX1), cefprozil (CPR), cefuroxime (CXM), cefuroxime axetil (CXA) and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins_3rd()</code> can select cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefetamet (CAT), cefetamet pivoxil (CPI), cefixime (CFM), cefmenoxime (CMX), cefodizime (DIZ), cefoperazone (CFP), cefoperazone/sulbactam (CSL), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotiam hexetil (CHE), cefovecin (FOV), cefpimizole (CFZ), cefpiramide (CPM), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefsulodin (CFS), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftriaxone (CRO) and latamoxef (LTM)</p></li>
<li><p><code>cephalosporins_4th()</code> can select cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetecol (Cefcatacol) (CCL), cefoselis (CSE), cefozopran (ZOP), cefpirome (CPO) and cefquinome (CEQ)</p></li>
<li><p><code>cephalosporins_5th()</code> can select ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/enzyme inhibitor (CEI) and ceftolozane/tazobactam (CZT)</p></li>
<li><p><code>fluoroquinolones()</code> can select besifloxacin (BES), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nifuroquine (NIF), norfloxacin (NOR), ofloxacin (OFX), orbifloxacin (ORB), pazufloxacin (PAZ), pefloxacin (PEF), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX) and trovafloxacin (TVA)</p></li>
<li><p><code>glycopeptides()</code> can select avoparcin (AVO), dalbavancin (DAL), norvancomycin (NVA), oritavancin (ORI), ramoplanin (RAM), teicoplanin (TEC), teicoplanin-macromethod (TCM), telavancin (TLV), vancomycin (VAN) and vancomycin-macromethod (VAM)</p></li>
<li><p><code>lincosamides()</code> can select acetylmidecamycin (ACM), acetylspiramycin (ASP), clindamycin (CLI), gamithromycin (GAM), kitasamycin (Leucomycin) (KIT), lincomycin (LIN), meleumycin (MEL), nafithromycin (ZWK), pirlimycin (PRL), primycin (PRM), solithromycin (SOL), tildipirosin (TIP), tilmicosin (TIL), tulathromycin (TUL), tylosin (TYL) and tylvalosin (TYL1)</p></li>
<li><p><code>lipoglycopeptides()</code> can select dalbavancin (DAL), oritavancin (ORI) and telavancin (TLV)</p></li>
<li><p><code>macrolides()</code> can select acetylmidecamycin (ACM), acetylspiramycin (ASP), azithromycin (AZM), clarithromycin (CLR), dirithromycin (DIR), erythromycin (ERY), flurithromycin (FLR1), gamithromycin (GAM), josamycin (JOS), kitasamycin (Leucomycin) (KIT), meleumycin (MEL), midecamycin (MID), miocamycin (MCM), nafithromycin (ZWK), oleandomycin (OLE), pirlimycin (PRL), primycin (PRM), rokitamycin (ROK), roxithromycin (RXT), solithromycin (SOL), spiramycin (SPI), telithromycin (TLT), tildipirosin (TIP), tilmicosin (TIL), troleandomycin (TRL), tulathromycin (TUL), tylosin (TYL) and tylvalosin (TYL1)</p></li>
<li><p><code>oxazolidinones()</code> can select cadazolid (CDZ), cycloserine (CYC), linezolid (LNZ), tedizolid (TZD) and thiacetazone (THA)</p></li>
<li><p><code>penicillins()</code> can select amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), carbenicillin (CRB), carindacillin (CRN), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), epicillin (EPC), flucloxacillin (FLC), hetacillin (HET), lenampicillin (LEN), mecillinam (Amdinocillin) (MEC), metampicillin (MTM), methicillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), phenethicillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), temocillin (TEM), ticarcillin (TIC) and ticarcillin/clavulanic acid (TCC)</p></li>
<li><p><code>polymyxins()</code> can select colistin (COL), polymyxin B (PLB) and polymyxin B/polysorbate 80 (POP)</p></li>
<li><p><code>streptogramins()</code> can select pristinamycin (PRI) and quinupristin/dalfopristin (QDA)</p></li>
<li><p><code>quinolones()</code> can select besifloxacin (BES), cinoxacin (CIN), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), flumequine (FLM), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nalidixic acid (NAL), nifuroquine (NIF), nitroxoline (NTR), norfloxacin (NOR), ofloxacin (OFX), orbifloxacin (ORB), oxolinic acid (OXO), pazufloxacin (PAZ), pefloxacin (PEF), pipemidic acid (PPA), piromidic acid (PIR), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rosoxacin (ROS), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX) and trovafloxacin (TVA)</p></li>
<li><p><code>tetracyclines()</code> can select cetocycline (CTO), chlortetracycline (CTE), clomocycline (CLM1), demeclocycline (DEM), doxycycline (DOX), eravacycline (ERV), lymecycline (LYM), metacycline (MTC), minocycline (MNO), omadacycline (OMC), oxytetracycline (OXY), penimepicycline (PNM1), rolitetracycline (RLT), tetracycline (TCY) and tigecycline (TGC)</p></li>
<li><p><code>ureidopenicillins()</code> can select azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP) and piperacillin/tazobactam (TZP)</p></li>
<li><p><code>aminoglycosides()</code> can select: <br /> amikacin (AMK), amikacin/fosfomycin (AKF), amphotericin B-high (AMH), apramycin (APR), arbekacin (ARB), astromicin (AST), bekanamycin (BEK), dibekacin (DKB), framycetin (FRM), gentamicin (GEN), gentamicin-high (GEH), habekacin (HAB), hygromycin (HYG), isepamicin (ISE), kanamycin (KAN), kanamycin-high (KAH), kanamycin/cephalexin (KAC), micronomicin (MCR), neomycin (NEO), netilmicin (NET), pentisomicin (PIM), plazomicin (PLZ), propikacin (PKA), ribostamycin (RST), sisomicin (SIS), streptoduocin (STR), streptomycin (STR1), streptomycin-high (STH), tobramycin (TOB) and tobramycin-high (TOH)</p></li>
<li><p><code>aminopenicillins()</code> can select: <br /> amoxicillin (AMX) and ampicillin (AMP)</p></li>
<li><p><code>antifungals()</code> can select: <br /> 5-fluorocytosine (FCT), amphotericin B (AMB), anidulafungin (ANI), butoconazole (BUT), caspofungin (CAS), ciclopirox (CIX), clotrimazole (CTR), econazole (ECO), fluconazole (FLU), fosfluconazole (FFL), griseofulvin (GRI), hachimycin (HCH), isavuconazole (ISV), isoconazole (ISO), itraconazole (ITR), ketoconazole (KET), micafungin (MIF), miconazole (MCZ), nystatin (NYS), pimaricin (Natamycin) (PMR), posaconazole (POS), ribociclib (RBC), sulconazole (SUC), terbinafine (TRB), terconazole (TRC) and voriconazole (VOR)</p></li>
<li><p><code>antimycobacterials()</code> can select: <br /> 4-aminosalicylic acid (AMA), calcium aminosalicylate (CLA), capreomycin (CAP), clofazimine (CLF), delamanid (DLM), enviomycin (Tuberactinomycin) (ENV), ethambutol (ETH), ethambutol/isoniazid (ETI), ethionamide (ETI1), isoniazid (INH), morinamide (MRN), p-aminosalicylic acid (PAS), pretomanid (PMD), prothionamide (PTH), pyrazinamide (PZA), rifabutin (RIB), rifampicin (RIF), rifampicin/isoniazid (RFI), rifampicin/pyrazinamide/ethambutol/isoniazid (RPEI), rifampicin/pyrazinamide/isoniazid (RPI), rifamycin (RFM), rifapentine (RFP), simvastatin/fenofibrate (SMF), sodium aminosalicylate (SDA), streptomycin/isoniazid (STI), terizidone (TRZ), thioacetazone/isoniazid (THI1), tiocarlide (TCR) and viomycin (VIO)</p></li>
<li><p><code>betalactams()</code> can select: <br /> amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), biapenem (BIA), carbenicillin (CRB), carindacillin (CRN), cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefaloridine (RID), cefamandole (MAN), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (Cefcatacol) (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/enzyme inhibitor (CEI), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), cefuroxime (CXM), cefuroxime axetil (CXA), cephalexin (LEX), cephalothin (CEP), cephapirin (HAP), cephradine (CED), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), doripenem (DOR), epicillin (EPC), ertapenem (ETP), flucloxacillin (FLC), hetacillin (HET), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), latamoxef (LTM), lenampicillin (LEN), loracarbef (LOR), mecillinam (Amdinocillin) (MEC), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), metampicillin (MTM), methicillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), panipenem (PAN), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), phenethicillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), tebipenem (TBP), temocillin (TEM), ticarcillin (TIC) and ticarcillin/clavulanic acid (TCC)</p></li>
<li><p><code>carbapenems()</code> can select: <br /> biapenem (BIA), doripenem (DOR), ertapenem (ETP), imipenem (IPM), imipenem/EDTA (IPE), imipenem/relebactam (IMR), meropenem (MEM), meropenem/nacubactam (MNC), meropenem/vaborbactam (MEV), panipenem (PAN), razupenem (RZM), ritipenem (RIT), ritipenem acoxil (RIA) and tebipenem (TBP)</p></li>
<li><p><code>cephalosporins()</code> can select: <br /> cefacetrile (CAC), cefaclor (CEC), cefadroxil (CFR), cefaloridine (RID), cefamandole (MAN), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetamet (CAT), cefetamet pivoxil (CPI), cefetecol (Cefcatacol) (CCL), cefetrizole (CZL), cefixime (CFM), cefmenoxime (CMX), cefmetazole (CMZ), cefodizime (DIZ), cefonicid (CID), cefoperazone (CFP), cefoperazone/sulbactam (CSL), ceforanide (CND), cefoselis (CSE), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotetan (CTT), cefotiam (CTF), cefotiam hexetil (CHE), cefovecin (FOV), cefoxitin (FOX), cefoxitin screening (FOX1), cefozopran (ZOP), cefpimizole (CFZ), cefpiramide (CPM), cefpirome (CPO), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefprozil (CPR), cefquinome (CEQ), cefroxadine (CRD), cefsulodin (CFS), cefsumide (CSU), ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftezole (CTL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/enzyme inhibitor (CEI), ceftolozane/tazobactam (CZT), ceftriaxone (CRO), cefuroxime (CXM), cefuroxime axetil (CXA), cephalexin (LEX), cephalothin (CEP), cephapirin (HAP), cephradine (CED), latamoxef (LTM) and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins_1st()</code> can select: <br /> cefacetrile (CAC), cefadroxil (CFR), cefaloridine (RID), cefatrizine (CTZ), cefazedone (CZD), cefazolin (CZO), cefroxadine (CRD), ceftezole (CTL), cephalexin (LEX), cephalothin (CEP), cephapirin (HAP) and cephradine (CED)</p></li>
<li><p><code>cephalosporins_2nd()</code> can select: <br /> cefaclor (CEC), cefamandole (MAN), cefmetazole (CMZ), cefonicid (CID), ceforanide (CND), cefotetan (CTT), cefotiam (CTF), cefoxitin (FOX), cefoxitin screening (FOX1), cefprozil (CPR), cefuroxime (CXM), cefuroxime axetil (CXA) and loracarbef (LOR)</p></li>
<li><p><code>cephalosporins_3rd()</code> can select: <br /> cefcapene (CCP), cefcapene pivoxil (CCX), cefdinir (CDR), cefditoren (DIT), cefditoren pivoxil (DIX), cefetamet (CAT), cefetamet pivoxil (CPI), cefixime (CFM), cefmenoxime (CMX), cefodizime (DIZ), cefoperazone (CFP), cefoperazone/sulbactam (CSL), cefotaxime (CTX), cefotaxime/clavulanic acid (CTC), cefotaxime/sulbactam (CTS), cefotiam hexetil (CHE), cefovecin (FOV), cefpimizole (CFZ), cefpiramide (CPM), cefpodoxime (CPD), cefpodoxime proxetil (CPX), cefpodoxime/clavulanic acid (CDC), cefsulodin (CFS), ceftazidime (CAZ), ceftazidime/avibactam (CZA), ceftazidime/clavulanic acid (CCV), cefteram (CEM), cefteram pivoxil (CPL), ceftibuten (CTB), ceftiofur (TIO), ceftizoxime (CZX), ceftizoxime alapivoxil (CZP), ceftriaxone (CRO) and latamoxef (LTM)</p></li>
<li><p><code>cephalosporins_4th()</code> can select: <br /> cefepime (FEP), cefepime/clavulanic acid (CPC), cefepime/tazobactam (FPT), cefetecol (Cefcatacol) (CCL), cefoselis (CSE), cefozopran (ZOP), cefpirome (CPO) and cefquinome (CEQ)</p></li>
<li><p><code>cephalosporins_5th()</code> can select: <br /> ceftaroline (CPT), ceftaroline/avibactam (CPA), ceftobiprole (BPR), ceftobiprole medocaril (CFM1), ceftolozane/enzyme inhibitor (CEI) and ceftolozane/tazobactam (CZT)</p></li>
<li><p><code>fluoroquinolones()</code> can select: <br /> besifloxacin (BES), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nifuroquine (NIF), norfloxacin (NOR), ofloxacin (OFX), orbifloxacin (ORB), pazufloxacin (PAZ), pefloxacin (PEF), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX) and trovafloxacin (TVA)</p></li>
<li><p><code>glycopeptides()</code> can select: <br /> avoparcin (AVO), dalbavancin (DAL), norvancomycin (NVA), oritavancin (ORI), ramoplanin (RAM), teicoplanin (TEC), teicoplanin-macromethod (TCM), telavancin (TLV), vancomycin (VAN) and vancomycin-macromethod (VAM)</p></li>
<li><p><code>lincosamides()</code> can select: <br /> acetylmidecamycin (ACM), acetylspiramycin (ASP), clindamycin (CLI), gamithromycin (GAM), kitasamycin (Leucomycin) (KIT), lincomycin (LIN), meleumycin (MEL), nafithromycin (ZWK), pirlimycin (PRL), primycin (PRM), solithromycin (SOL), tildipirosin (TIP), tilmicosin (TIL), tulathromycin (TUL), tylosin (TYL) and tylvalosin (TYL1)</p></li>
<li><p><code>lipoglycopeptides()</code> can select: <br /> dalbavancin (DAL), oritavancin (ORI) and telavancin (TLV)</p></li>
<li><p><code>macrolides()</code> can select: <br /> acetylmidecamycin (ACM), acetylspiramycin (ASP), azithromycin (AZM), clarithromycin (CLR), dirithromycin (DIR), erythromycin (ERY), flurithromycin (FLR1), gamithromycin (GAM), josamycin (JOS), kitasamycin (Leucomycin) (KIT), meleumycin (MEL), midecamycin (MID), miocamycin (MCM), nafithromycin (ZWK), oleandomycin (OLE), pirlimycin (PRL), primycin (PRM), rokitamycin (ROK), roxithromycin (RXT), solithromycin (SOL), spiramycin (SPI), telithromycin (TLT), tildipirosin (TIP), tilmicosin (TIL), troleandomycin (TRL), tulathromycin (TUL), tylosin (TYL) and tylvalosin (TYL1)</p></li>
<li><p><code>oxazolidinones()</code> can select: <br /> cadazolid (CDZ), cycloserine (CYC), linezolid (LNZ), tedizolid (TZD) and thiacetazone (THA)</p></li>
<li><p><code>penicillins()</code> can select: <br /> amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), carbenicillin (CRB), carindacillin (CRN), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), epicillin (EPC), flucloxacillin (FLC), hetacillin (HET), lenampicillin (LEN), mecillinam (Amdinocillin) (MEC), metampicillin (MTM), methicillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), phenethicillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), temocillin (TEM), ticarcillin (TIC) and ticarcillin/clavulanic acid (TCC)</p></li>
<li><p><code>polymyxins()</code> can select: <br /> colistin (COL), polymyxin B (PLB) and polymyxin B/polysorbate 80 (POP)</p></li>
<li><p><code>quinolones()</code> can select: <br /> besifloxacin (BES), cinoxacin (CIN), ciprofloxacin (CIP), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), flumequine (FLM), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nalidixic acid (NAL), nifuroquine (NIF), nitroxoline (NTR), norfloxacin (NOR), ofloxacin (OFX), orbifloxacin (ORB), oxolinic acid (OXO), pazufloxacin (PAZ), pefloxacin (PEF), pipemidic acid (PPA), piromidic acid (PIR), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rosoxacin (ROS), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX) and trovafloxacin (TVA)</p></li>
<li><p><code>streptogramins()</code> can select: <br /> pristinamycin (PRI) and quinupristin/dalfopristin (QDA)</p></li>
<li><p><code>tetracyclines()</code> can select: <br /> cetocycline (CTO), chlortetracycline (CTE), clomocycline (CLM1), demeclocycline (DEM), doxycycline (DOX), eravacycline (ERV), lymecycline (LYM), metacycline (MTC), minocycline (MNO), omadacycline (OMC), oxytetracycline (OXY), penimepicycline (PNM1), rolitetracycline (RLT), tetracycline (TCY) and tigecycline (TGC)</p></li>
<li><p><code>trimethoprims()</code> can select: <br /> brodimoprim (BDP), sulfadiazine (SDI), sulfadiazine/tetroxoprim (SLT), sulfadiazine/trimethoprim (SLT1), sulfadimethoxine (SUD), sulfadimidine (SDM), sulfadimidine/trimethoprim (SLT2), sulfafurazole (SLF), sulfaisodimidine (SLF1), sulfalene (SLF2), sulfamazone (SZO), sulfamerazine (SLF3), sulfamerazine/trimethoprim (SLT3), sulfamethizole (SLF4), sulfamethoxazole (SMX), sulfamethoxypyridazine (SLF5), sulfametomidine (SLF6), sulfametoxydiazine (SLF7), sulfametrole/trimethoprim (SLT4), sulfamoxole (SLF8), sulfamoxole/trimethoprim (SLT5), sulfanilamide (SLF9), sulfaperin (SLF10), sulfaphenazole (SLF11), sulfapyridine (SLF12), sulfathiazole (SUT), sulfathiourea (SLF13), trimethoprim (TMP) and trimethoprim/sulfamethoxazole (SXT)</p></li>
<li><p><code>ureidopenicillins()</code> can select: <br /> azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP) and piperacillin/tazobactam (TZP)</p></li>
</ul>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>
@ -376,6 +404,9 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='co'># select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB'</span>
<span class='va'>example_isolates</span><span class='op'>[</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mo"</span>, <span class='fu'>aminoglycosides</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span><span class='op'>]</span>
<span class='co'># select only antibiotic columns with DDDs for oral treatment</span>
<span class='va'>example_isolates</span><span class='op'>[</span>, <span class='fu'>administrable_per_os</span><span class='op'>(</span><span class='op'>)</span><span class='op'>]</span>
<span class='co'># filter using any() or all()</span>
<span class='va'>example_isolates</span><span class='op'>[</span><span class='fu'><a href='https://rdrr.io/r/base/any.html'>any</a></span><span class='op'>(</span><span class='fu'>carbapenems</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span>, <span class='op'>]</span>
<span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>example_isolates</span>, <span class='fu'><a href='https://rdrr.io/r/base/any.html'>any</a></span><span class='op'>(</span><span class='fu'>carbapenems</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span><span class='op'>)</span>
@ -390,6 +421,13 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='co'># filter + select in one go: get penicillins in carbapenems-resistant strains</span>
<span class='va'>example_isolates</span><span class='op'>[</span><span class='fu'><a href='https://rdrr.io/r/base/any.html'>any</a></span><span class='op'>(</span><span class='fu'>carbapenems</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span>, <span class='fu'>penicillins</span><span class='op'>(</span><span class='op'>)</span><span class='op'>]</span>
<span class='co'># You can combine selectors with '&amp;' to be more specific. For example,</span>
<span class='co'># penicillins() would select benzylpenicillin ('peni G') and</span>
<span class='co'># administrable_per_os() would select erythromycin. Yet, when combined these</span>
<span class='co'># drugs are both omitted since benzylpenicillin is not administrable per os</span>
<span class='co'># and erythromycin is not a penicillin:</span>
<span class='va'>example_isolates</span><span class='op'>[</span>, <span class='fu'>penicillins</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>&amp;</span> <span class='fu'>administrable_per_os</span><span class='op'>(</span><span class='op'>)</span><span class='op'>]</span>
<span class='co'># dplyr -------------------------------------------------------------------</span>
<span class='co'># \donttest{</span>
@ -399,6 +437,16 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='va'>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='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span><span class='op'>(</span><span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='op'>(</span><span class='fu'>aminoglycosides</span><span class='op'>(</span><span class='op'>)</span>, <span class='va'>resistance</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># You can combine selectors with '&amp;' to be more specific:</span>
<span class='va'>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='op'>(</span><span class='fu'>penicillins</span><span class='op'>(</span><span class='op'>)</span> <span class='op'>&amp;</span> <span class='fu'>administrable_per_os</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># get susceptibility for antibiotics whose name contains "trim":</span>
<span class='va'>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='op'>(</span><span class='fu'><a href='first_isolate.html'>first_isolate</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</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='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span><span class='op'>(</span><span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='op'>(</span><span class='fu'>ab_selector</span><span class='op'>(</span><span class='va'>name</span> <span class='op'>%like%</span> <span class='st'>"trim"</span><span class='op'>)</span>, <span class='va'>susceptibility</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>

29
docs/reference/antibiotics.html
View File

@ -49,8 +49,11 @@
<script src="../extra.js"></script>
<meta property="og:title" content="Data Sets with 558 Antimicrobials — antibiotics" />
<meta property="og:description" content="Two data sets containing all antibiotics/antimycotics and antivirals. Use as.ab() or one of the ab_* functions to retrieve values from the antibiotics data set. Three identifiers are included in this data set: an antibiotic ID (ab, primarily used in this package) as defined by WHONET/EARS-Net, an ATC code (atc) as defined by the WHO, and a Compound ID (cid) as found in PubChem. Other properties in this data set are derived from one or more of these codes." />
<meta property="og:description" content="Two data sets containing all antibiotics/antimycotics and antivirals. Use as.ab() or one of the ab_* functions to retrieve values from the antibiotics data set. Three identifiers are included in this data set: an antibiotic ID (ab, primarily used in this package) as defined by WHONET/EARS-Net, an ATC code (atc) as defined by the WHO, and a Compound ID (cid) as found in PubChem. Other properties in this data set are derived from one or more of these codes. Note that some drugs have multiple ATC codes." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -247,7 +250,7 @@
</div>
<div class="ref-description">
<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_*</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>
<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_*</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. Note that some drugs have multiple ATC codes.</p>
</div>
<div class="ref-usage sourceCode"><pre class='sourceCode r'><code><span class='va'>antibiotics</span>
@ -262,10 +265,10 @@
<ul>
<li><p><code>ab</code><br /> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>group</code><br /> A short and concise group name, based on WHONET and WHOCC definitions</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>atc_group1</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC, like <code>"Macrolides, lincosamides and streptogramins"</code></p></li>
<li><p><code>atc_group2</code><br /> Official chemical subgroup (4th level ATC code) as defined by the WHOCC, like <code>"Macrolides"</code></p></li>
<li><p><code>abbr</code><br /> List of abbreviations as used in many countries, also for antibiotic susceptibility testing (AST)</p></li>
@ -280,10 +283,10 @@
<ul>
<li><p><code>ab</code><br /> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>group</code><br /> A short and concise group name, based on WHONET and WHOCC definitions</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>atc_group1</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC, like <code>"Macrolides, lincosamides and streptogramins"</code></p></li>
<li><p><code>atc_group2</code><br /> Official chemical subgroup (4th level ATC code) as defined by the WHOCC, like <code>"Macrolides"</code></p></li>
<li><p><code>abbr</code><br /> List of abbreviations as used in many countries, also for antibiotic susceptibility testing (AST)</p></li>
@ -298,10 +301,10 @@
<ul>
<li><p><code>ab</code><br /> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>group</code><br /> A short and concise group name, based on WHONET and WHOCC definitions</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>atc_group1</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC, like <code>"Macrolides, lincosamides and streptogramins"</code></p></li>
<li><p><code>atc_group2</code><br /> Official chemical subgroup (4th level ATC code) as defined by the WHOCC, like <code>"Macrolides"</code></p></li>
<li><p><code>abbr</code><br /> List of abbreviations as used in many countries, also for antibiotic susceptibility testing (AST)</p></li>
@ -316,10 +319,10 @@
<ul>
<li><p><code>ab</code><br /> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>group</code><br /> A short and concise group name, based on WHONET and WHOCC definitions</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>atc_group1</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC, like <code>"Macrolides, lincosamides and streptogramins"</code></p></li>
<li><p><code>atc_group2</code><br /> Official chemical subgroup (4th level ATC code) as defined by the WHOCC, like <code>"Macrolides"</code></p></li>
<li><p><code>abbr</code><br /> List of abbreviations as used in many countries, also for antibiotic susceptibility testing (AST)</p></li>
@ -334,10 +337,10 @@
<ul>
<li><p><code>ab</code><br /> Antibiotic ID as used in this package (such as <code>AMC</code>), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available</p></li>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>group</code><br /> A short and concise group name, based on WHONET and WHOCC definitions</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC, like <code>J01CR02</code></p></li>
<li><p><code>atc_group1</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC, like <code>"Macrolides, lincosamides and streptogramins"</code></p></li>
<li><p><code>atc_group2</code><br /> Official chemical subgroup (4th level ATC code) as defined by the WHOCC, like <code>"Macrolides"</code></p></li>
<li><p><code>abbr</code><br /> List of abbreviations as used in many countries, also for antibiotic susceptibility testing (AST)</p></li>
@ -353,7 +356,7 @@
<h3 class='hasAnchor' id='for-the-'><a class='anchor' aria-hidden='true' href='#for-the-'></a>For the antivirals data set: a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 102 observations and 9 variables:</h3>
<ul>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>atc_group</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC</p></li>
@ -366,7 +369,7 @@
<h3 class='hasAnchor' id='list-antivirals-'><a class='anchor' aria-hidden='true' href='#list-antivirals-'></a>For the antivirals data set: a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 102 observations and 9 variables:</h3>
<ul>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>atc_group</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC</p></li>
@ -379,7 +382,7 @@
<h3 class='hasAnchor' id='-data-set-a-'><a class='anchor' aria-hidden='true' href='#-data-set-a-'></a>For the antivirals data set: a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 102 observations and 9 variables:</h3>
<ul>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>atc_group</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC</p></li>
@ -392,7 +395,7 @@
<h3 class='hasAnchor' id='list-data-frame-'><a class='anchor' aria-hidden='true' href='#list-data-frame-'></a>For the antivirals data set: a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 102 observations and 9 variables:</h3>
<ul>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>atc_group</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC</p></li>
@ -405,7 +408,7 @@
<h3 class='hasAnchor' id='-with-observations-and-variables-'><a class='anchor' aria-hidden='true' href='#-with-observations-and-variables-'></a>For the antivirals data set: a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with 102 observations and 9 variables:</h3>
<ul>
<li><p><code>atc</code><br /> ATC code (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>atc</code><br /> ATC codes (Anatomical Therapeutic Chemical) as defined by the WHOCC</p></li>
<li><p><code>cid</code><br /> Compound ID as found in PubChem</p></li>
<li><p><code>name</code><br /> Official name as used by WHONET/EARS-Net or the WHO</p></li>
<li><p><code>atc_group</code><br /> Official pharmacological subgroup (3rd level ATC code) as defined by the WHOCC</p></li>

7
docs/reference/as.ab.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Transform Input to an Antibiotic ID — as.ab" />
<meta property="og:description" content="Use this function to determine the antibiotic code of one or more antibiotics. The data set antibiotics will be searched for abbreviations, official names and synonyms (brand names)." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -280,7 +283,7 @@
<p>A <a href='https://rdrr.io/r/base/character.html'>character</a> <a href='https://rdrr.io/r/base/vector.html'>vector</a> with additional class <code>ab</code></p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>All entries in the <a href='antibiotics.html'>antibiotics</a> data set have three different identifiers: a human readable EARS-Net code (column <code>ab</code>, used by ECDC and WHONET), an ATC code (column <code>atc</code>, used by WHO), and a CID code (column <code>cid</code>, Compound ID, used by PubChem). The data set contains more than 5,000 official brand names from many different countries, as found in PubChem.</p>
<p>All entries in the <a href='antibiotics.html'>antibiotics</a> data set have three different identifiers: a human readable EARS-Net code (column <code>ab</code>, used by ECDC and WHONET), an ATC code (column <code>atc</code>, used by WHO), and a CID code (column <code>cid</code>, Compound ID, used by PubChem). The data set contains more than 5,000 official brand names from many different countries, as found in PubChem. Not that some drugs contain multiple ATC codes.</p>
<p>All these properties will be searched for the user input. The <code>as.ab()</code> can correct for different forms of misspelling:</p><ul>
<li><p>Wrong spelling of drug names (such as "tobramicin" or "gentamycin"), which corrects for most audible similarities such as f/ph, x/ks, c/z/s, t/th, etc.</p></li>
<li><p>Too few or too many vowels or consonants</p></li>

5
docs/reference/as.disk.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Transform Input to Disk Diffusion Diameters — as.disk" />
<meta property="og:description" content="This transforms a vector to a new class disk, which is a disk diffusion growth zone size (around an antibiotic disk) in millimetres between 6 and 50." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

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<meta property="og:title" content="Transform Input to Minimum Inhibitory Concentrations (MIC) — as.mic" />
<meta property="og:description" content="This ransforms vectors to a new class mic, which treats the input as decimal numbers, while maintaining operators (such as &quot;&amp;gt;=&quot;) and only allowing valid MIC values known to the field of (medical) microbiology." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

6
docs/reference/as.mo.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Transform Input to a Microorganism Code — as.mo" />
<meta property="og:description" content="Use this function to determine a valid microorganism code (mo). Determination is done using intelligent rules and the complete taxonomic kingdoms Bacteria, Chromista, Protozoa, Archaea and most microbial species from the kingdom Fungi (see Source). The input can be almost anything: a full name (like &quot;Staphylococcus aureus&quot;), an abbreviated name (such as &quot;S. aureus&quot;), an abbreviation known in the field (such as &quot;MRSA&quot;), or just a genus. See Examples." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -413,6 +416,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</ul>
<p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence. <strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales. <strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Proteobacteria, Firmicutes, Actinobacteria or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Alternaria</em>, <em>Anaerosalibacter</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobacterium</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Branhamella</em>, <em>Calymmatobacterium</em>, <em>Candida</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Chaetomium</em>, <em>Chryseobacterium</em>, <em>Chryseomonas</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Hendersonula</em>, <em>Hypomyces</em>, <em>Koserella</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oidiodendron</em>, <em>Phoma</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Stomatococcus</em>, <em>Treponema</em>, <em>Trichoderma</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Tritirachium</em> or <em>Ureaplasma</em>. <strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
<h2 class="hasAnchor" id="catalogue-of-life"><a class="anchor" href="#catalogue-of-life"></a>Catalogue of Life</h2>

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<meta property="og:title" content="Interpret MIC and Disk Values, or Clean Raw R/SI Data — as.rsi" />
<meta property="og:description" content="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 rsi, which is an ordered factor with levels S &amp;lt; I &amp;lt; R." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
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<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -399,7 +402,7 @@
A microorganism is categorised as <em>Resistant</em> when there is a high likelihood of therapeutic failure even when there is increased exposure. Exposure is a function of how the mode of administration, dose, dosing interval, infusion time, as well as distribution and excretion of the antimicrobial agent will influence the infecting organism at the site of infection.</p></li>
<li><p><strong>S = Susceptible</strong><br />
A microorganism is categorised as <em>Susceptible, standard dosing regimen</em>, when there is a high likelihood of therapeutic success using a standard dosing regimen of the agent.</p></li>
<li><p><strong>I = Increased exposure, but still susceptible</strong><br />
<li><p><strong>I = Susceptible, Increased exposure</strong><br />
A microorganism is categorised as <em>Susceptible, Increased exposure</em> when there is a high likelihood of therapeutic success because exposure to the agent is increased by adjusting the dosing regimen or by its concentration at the site of infection.</p></li>
</ul>

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@ -51,6 +51,9 @@
<meta property="og:title" content="Get ATC Properties from WHOCC Website — atc_online_property" />
<meta property="og:description" content="Gets data from the WHO to determine properties of an ATC (e.g. an antibiotic), such as the name, defined daily dose (DDD) or standard unit." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/availability.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Check Availability of Columns — availability" />
<meta property="og:description" content="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. susceptibility() and resistance()." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/bug_drug_combinations.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Determine Bug-Drug Combinations — bug_drug_combinations" />
<meta property="og:description" content="Determine antimicrobial resistance (AMR) of all bug-drug combinations in your data set where at least 30 (default) isolates are available per species. Use format() on the result to prettify it to a publishable/printable format, see Examples." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/catalogue_of_life.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="The Catalogue of Life — catalogue_of_life" />
<meta property="og:description" content="This package contains the complete taxonomic tree of almost all microorganisms from the authoritative and comprehensive Catalogue of Life." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/catalogue_of_life_version.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Version info of included Catalogue of Life — catalogue_of_life_version" />
<meta property="og:description" content="This function returns information about the included data from the Catalogue of Life." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

7
docs/reference/count.html
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@ -52,6 +52,9 @@
<meta property="og:description" content="These functions can be used to count resistant/susceptible microbial isolates. All functions support quasiquotation with pipes, can be used in summarise() from the dplyr package and also support grouped variables, see Examples.
count_resistant() should be used to count resistant isolates, count_susceptible() should be used to count susceptible isolates." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -91,7 +94,7 @@ 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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -336,7 +339,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
A microorganism is categorised as <em>Resistant</em> when there is a high likelihood of therapeutic failure even when there is increased exposure. Exposure is a function of how the mode of administration, dose, dosing interval, infusion time, as well as distribution and excretion of the antimicrobial agent will influence the infecting organism at the site of infection.</p></li>
<li><p><strong>S = Susceptible</strong><br />
A microorganism is categorised as <em>Susceptible, standard dosing regimen</em>, when there is a high likelihood of therapeutic success using a standard dosing regimen of the agent.</p></li>
<li><p><strong>I = Increased exposure, but still susceptible</strong><br />
<li><p><strong>I = Susceptible, Increased exposure</strong><br />
A microorganism is categorised as <em>Susceptible, Increased exposure</em> when there is a high likelihood of therapeutic success because exposure to the agent is increased by adjusting the dosing regimen or by its concentration at the site of infection.</p></li>
</ul>

60
docs/reference/custom_eucast_rules.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Define Custom EUCAST Rules — custom_eucast_rules" />
<meta property="og:description" content="Define custom EUCAST rules for your organisation or specific analysis and use the output of this function in eucast_rules()." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -320,32 +323,35 @@
<h3 class='hasAnchor' id='usage-of-antibiotic-group-names'><a class='anchor' aria-hidden='true' href='#usage-of-antibiotic-group-names'></a>Usage of antibiotic group names</h3>
<p>It is possible to define antibiotic groups instead of single antibiotics for the rule consequence, the part <em>after</em> the tilde. In above examples, the antibiotic group <code>aminopenicillins</code> is used to include ampicillin and amoxicillin. The following groups are allowed (case-insensitive). Within parentheses are the antibiotic agents that will be matched when running the rule.</p><ul>
<li><p><code>aminoglycosides</code><br />(amikacin, amikacin/fosfomycin, amphotericin B-high, apramycin, arbekacin, astromicin, bekanamycin, dibekacin, framycetin, gentamicin, gentamicin-high, habekacin, hygromycin, isepamicin, kanamycin, kanamycin-high, kanamycin/cephalexin, micronomicin, neomycin, netilmicin, pentisomicin, plazomicin, propikacin, ribostamycin, sisomicin, streptoduocin, streptomycin, streptomycin-high, tobramycin, tobramycin-high)</p></li>
<li><p><code>aminopenicillins</code><br />(amoxicillin, ampicillin)</p></li>
<li><p><code>betalactams</code><br />(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, biapenem, carbenicillin, carindacillin, cefacetrile, cefaclor, cefadroxil, cefaloridine, cefamandole, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol (Cefcatacol), cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, cephalothin, cephapirin, cephradine, ciclacillin, clometocillin, cloxacillin, dicloxacillin, doripenem, epicillin, ertapenem, flucloxacillin, hetacillin, imipenem, imipenem/EDTA, imipenem/relebactam, latamoxef, lenampicillin, loracarbef, mecillinam (Amdinocillin), meropenem, meropenem/nacubactam, meropenem/vaborbactam, metampicillin, methicillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, panipenem, penamecillin, penicillin/novobiocin, penicillin/sulbactam, phenethicillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, razupenem, ritipenem, ritipenem acoxil, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, tebipenem, temocillin, ticarcillin, ticarcillin/clavulanic acid)</p></li>
<li><p><code>carbapenems</code><br />(biapenem, doripenem, ertapenem, imipenem, imipenem/EDTA, imipenem/relebactam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, panipenem, razupenem, ritipenem, ritipenem acoxil, tebipenem)</p></li>
<li><p><code>cephalosporins</code><br />(cefacetrile, cefaclor, cefadroxil, cefaloridine, cefamandole, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol (Cefcatacol), cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, cephalothin, cephapirin, cephradine, latamoxef, loracarbef)</p></li>
<li><p><code>cephalosporins_1st</code><br />(cefacetrile, cefadroxil, cefaloridine, cefatrizine, cefazedone, cefazolin, cefroxadine, ceftezole, cephalexin, cephalothin, cephapirin, cephradine)</p></li>
<li><p><code>cephalosporins_2nd</code><br />(cefaclor, cefamandole, cefmetazole, cefonicid, ceforanide, cefotetan, cefotiam, cefoxitin, cefoxitin screening, cefprozil, cefuroxime, cefuroxime axetil, loracarbef)</p></li>
<li><p><code>cephalosporins_3rd</code><br />(cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefetamet, cefetamet pivoxil, cefixime, cefmenoxime, cefodizime, cefoperazone, cefoperazone/sulbactam, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotiam hexetil, cefovecin, cefpimizole, cefpiramide, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefsulodin, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftriaxone, latamoxef)</p></li>
<li><p><code>cephalosporins_4th</code><br />(cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetecol (Cefcatacol), cefoselis, cefozopran, cefpirome, cefquinome)</p></li>
<li><p><code>cephalosporins_5th</code><br />(ceftaroline, ceftaroline/avibactam, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam)</p></li>
<li><p><code>cephalosporins_except_caz</code><br />(cefacetrile, cefaclor, cefadroxil, cefaloridine, cefamandole, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol (Cefcatacol), cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, cephalothin, cephapirin, cephradine, latamoxef, loracarbef)</p></li>
<li><p><code>fluoroquinolones</code><br />(besifloxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nifuroquine, norfloxacin, ofloxacin, orbifloxacin, pazufloxacin, pefloxacin, pradofloxacin, premafloxacin, prulifloxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, trovafloxacin)</p></li>
<li><p><code>glycopeptides</code><br />(avoparcin, dalbavancin, norvancomycin, oritavancin, ramoplanin, teicoplanin, teicoplanin-macromethod, telavancin, vancomycin, vancomycin-macromethod)</p></li>
<li><p><code>glycopeptides_except_lipo</code><br />(avoparcin, norvancomycin, ramoplanin, teicoplanin, teicoplanin-macromethod, vancomycin, vancomycin-macromethod)</p></li>
<li><p><code>lincosamides</code><br />(acetylmidecamycin, acetylspiramycin, clindamycin, gamithromycin, kitasamycin (Leucomycin), lincomycin, meleumycin, nafithromycin, pirlimycin, primycin, solithromycin, tildipirosin, tilmicosin, tulathromycin, tylosin, tylvalosin)</p></li>
<li><p><code>lipoglycopeptides</code><br />(dalbavancin, oritavancin, telavancin)</p></li>
<li><p><code>macrolides</code><br />(acetylmidecamycin, acetylspiramycin, azithromycin, clarithromycin, dirithromycin, erythromycin, flurithromycin, gamithromycin, josamycin, kitasamycin (Leucomycin), meleumycin, midecamycin, miocamycin, nafithromycin, oleandomycin, pirlimycin, primycin, rokitamycin, roxithromycin, solithromycin, spiramycin, telithromycin, tildipirosin, tilmicosin, troleandomycin, tulathromycin, tylosin, tylvalosin)</p></li>
<li><p><code>oxazolidinones</code><br />(cadazolid, cycloserine, linezolid, tedizolid, thiacetazone)</p></li>
<li><p><code>penicillins</code><br />(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, carbenicillin, carindacillin, ciclacillin, clometocillin, cloxacillin, dicloxacillin, epicillin, flucloxacillin, hetacillin, lenampicillin, mecillinam (Amdinocillin), metampicillin, methicillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, penamecillin, penicillin/novobiocin, penicillin/sulbactam, phenethicillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, temocillin, ticarcillin, ticarcillin/clavulanic acid)</p></li>
<li><p><code>polymyxins</code><br />(colistin, polymyxin B, polymyxin B/polysorbate 80)</p></li>
<li><p><code>quinolones</code><br />(besifloxacin, cinoxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, flumequine, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nalidixic acid, nifuroquine, nitroxoline, norfloxacin, ofloxacin, orbifloxacin, oxolinic acid, pazufloxacin, pefloxacin, pipemidic acid, piromidic acid, pradofloxacin, premafloxacin, prulifloxacin, rosoxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, trovafloxacin)</p></li>
<li><p><code>streptogramins</code><br />(pristinamycin, quinupristin/dalfopristin)</p></li>
<li><p><code>tetracyclines</code><br />(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, tetracycline, tigecycline)</p></li>
<li><p><code>tetracyclines_except_tgc</code><br />(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, tetracycline)</p></li>
<li><p><code>ureidopenicillins</code><br />(azlocillin, mezlocillin, piperacillin, piperacillin/tazobactam)</p></li>
<p>It is possible to define antibiotic groups instead of single antibiotics for the rule consequence, the part <em>after</em> the tilde. In above examples, the antibiotic group <code>aminopenicillins</code> is used to include ampicillin and amoxicillin. The following groups are allowed (case-insensitive). Within parentheses are the agents that will be matched when running the rule.</p><ul>
<li><p><code>aminoglycosides</code><br />(amikacin, amikacin/fosfomycin, amphotericin B-high, apramycin, arbekacin, astromicin, bekanamycin, dibekacin, framycetin, gentamicin, gentamicin-high, habekacin, hygromycin, isepamicin, kanamycin, kanamycin-high, kanamycin/cephalexin, micronomicin, neomycin, netilmicin, pentisomicin, plazomicin, propikacin, ribostamycin, sisomicin, streptoduocin, streptomycin, streptomycin-high, tobramycin and tobramycin-high)</p></li>
<li><p><code>aminopenicillins</code><br />(amoxicillin and ampicillin)</p></li>
<li><p><code>antifungals</code><br />(5-fluorocytosine, amphotericin B, anidulafungin, butoconazole, caspofungin, ciclopirox, clotrimazole, econazole, fluconazole, fosfluconazole, griseofulvin, hachimycin, isavuconazole, isoconazole, itraconazole, ketoconazole, micafungin, miconazole, nystatin, pimaricin (Natamycin), posaconazole, ribociclib, sulconazole, terbinafine, terconazole and voriconazole)</p></li>
<li><p><code>antimycobacterials</code><br />(4-aminosalicylic acid, calcium aminosalicylate, capreomycin, clofazimine, delamanid, enviomycin (Tuberactinomycin), ethambutol, ethambutol/isoniazid, ethionamide, isoniazid, morinamide, p-aminosalicylic acid, pretomanid, prothionamide, pyrazinamide, rifabutin, rifampicin, rifampicin/isoniazid, rifampicin/pyrazinamide/ethambutol/isoniazid, rifampicin/pyrazinamide/isoniazid, rifamycin, rifapentine, simvastatin/fenofibrate, sodium aminosalicylate, streptomycin/isoniazid, terizidone, thioacetazone/isoniazid, tiocarlide and viomycin)</p></li>
<li><p><code>betalactams</code><br />(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, biapenem, carbenicillin, carindacillin, cefacetrile, cefaclor, cefadroxil, cefaloridine, cefamandole, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol (Cefcatacol), cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, cephalothin, cephapirin, cephradine, ciclacillin, clometocillin, cloxacillin, dicloxacillin, doripenem, epicillin, ertapenem, flucloxacillin, hetacillin, imipenem, imipenem/EDTA, imipenem/relebactam, latamoxef, lenampicillin, loracarbef, mecillinam (Amdinocillin), meropenem, meropenem/nacubactam, meropenem/vaborbactam, metampicillin, methicillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, panipenem, penamecillin, penicillin/novobiocin, penicillin/sulbactam, phenethicillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, razupenem, ritipenem, ritipenem acoxil, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, tebipenem, temocillin, ticarcillin and ticarcillin/clavulanic acid)</p></li>
<li><p><code>carbapenems</code><br />(biapenem, doripenem, ertapenem, imipenem, imipenem/EDTA, imipenem/relebactam, meropenem, meropenem/nacubactam, meropenem/vaborbactam, panipenem, razupenem, ritipenem, ritipenem acoxil and tebipenem)</p></li>
<li><p><code>cephalosporins</code><br />(cefacetrile, cefaclor, cefadroxil, cefaloridine, cefamandole, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol (Cefcatacol), cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, cephalothin, cephapirin, cephradine, latamoxef and loracarbef)</p></li>
<li><p><code>cephalosporins_1st</code><br />(cefacetrile, cefadroxil, cefaloridine, cefatrizine, cefazedone, cefazolin, cefroxadine, ceftezole, cephalexin, cephalothin, cephapirin and cephradine)</p></li>
<li><p><code>cephalosporins_2nd</code><br />(cefaclor, cefamandole, cefmetazole, cefonicid, ceforanide, cefotetan, cefotiam, cefoxitin, cefoxitin screening, cefprozil, cefuroxime, cefuroxime axetil and loracarbef)</p></li>
<li><p><code>cephalosporins_3rd</code><br />(cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefetamet, cefetamet pivoxil, cefixime, cefmenoxime, cefodizime, cefoperazone, cefoperazone/sulbactam, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotiam hexetil, cefovecin, cefpimizole, cefpiramide, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefsulodin, ceftazidime, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftriaxone and latamoxef)</p></li>
<li><p><code>cephalosporins_4th</code><br />(cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetecol (Cefcatacol), cefoselis, cefozopran, cefpirome and cefquinome)</p></li>
<li><p><code>cephalosporins_5th</code><br />(ceftaroline, ceftaroline/avibactam, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor and ceftolozane/tazobactam)</p></li>
<li><p><code>cephalosporins_except_caz</code><br />(cefacetrile, cefaclor, cefadroxil, cefaloridine, cefamandole, cefatrizine, cefazedone, cefazolin, cefcapene, cefcapene pivoxil, cefdinir, cefditoren, cefditoren pivoxil, cefepime, cefepime/clavulanic acid, cefepime/tazobactam, cefetamet, cefetamet pivoxil, cefetecol (Cefcatacol), cefetrizole, cefixime, cefmenoxime, cefmetazole, cefodizime, cefonicid, cefoperazone, cefoperazone/sulbactam, ceforanide, cefoselis, cefotaxime, cefotaxime/clavulanic acid, cefotaxime/sulbactam, cefotetan, cefotiam, cefotiam hexetil, cefovecin, cefoxitin, cefoxitin screening, cefozopran, cefpimizole, cefpiramide, cefpirome, cefpodoxime, cefpodoxime proxetil, cefpodoxime/clavulanic acid, cefprozil, cefquinome, cefroxadine, cefsulodin, cefsumide, ceftaroline, ceftaroline/avibactam, ceftazidime/avibactam, ceftazidime/clavulanic acid, cefteram, cefteram pivoxil, ceftezole, ceftibuten, ceftiofur, ceftizoxime, ceftizoxime alapivoxil, ceftobiprole, ceftobiprole medocaril, ceftolozane/enzyme inhibitor, ceftolozane/tazobactam, ceftriaxone, cefuroxime, cefuroxime axetil, cephalexin, cephalothin, cephapirin, cephradine, latamoxef and loracarbef)</p></li>
<li><p><code>fluoroquinolones</code><br />(besifloxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nifuroquine, norfloxacin, ofloxacin, orbifloxacin, pazufloxacin, pefloxacin, pradofloxacin, premafloxacin, prulifloxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin and trovafloxacin)</p></li>
<li><p><code>glycopeptides</code><br />(avoparcin, dalbavancin, norvancomycin, oritavancin, ramoplanin, teicoplanin, teicoplanin-macromethod, telavancin, vancomycin and vancomycin-macromethod)</p></li>
<li><p><code>glycopeptides_except_lipo</code><br />(avoparcin, norvancomycin, ramoplanin, teicoplanin, teicoplanin-macromethod, vancomycin and vancomycin-macromethod)</p></li>
<li><p><code>lincosamides</code><br />(acetylmidecamycin, acetylspiramycin, clindamycin, gamithromycin, kitasamycin (Leucomycin), lincomycin, meleumycin, nafithromycin, pirlimycin, primycin, solithromycin, tildipirosin, tilmicosin, tulathromycin, tylosin and tylvalosin)</p></li>
<li><p><code>lipoglycopeptides</code><br />(dalbavancin, oritavancin and telavancin)</p></li>
<li><p><code>macrolides</code><br />(acetylmidecamycin, acetylspiramycin, azithromycin, clarithromycin, dirithromycin, erythromycin, flurithromycin, gamithromycin, josamycin, kitasamycin (Leucomycin), meleumycin, midecamycin, miocamycin, nafithromycin, oleandomycin, pirlimycin, primycin, rokitamycin, roxithromycin, solithromycin, spiramycin, telithromycin, tildipirosin, tilmicosin, troleandomycin, tulathromycin, tylosin and tylvalosin)</p></li>
<li><p><code>oxazolidinones</code><br />(cadazolid, cycloserine, linezolid, tedizolid and thiacetazone)</p></li>
<li><p><code>penicillins</code><br />(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, carbenicillin, carindacillin, ciclacillin, clometocillin, cloxacillin, dicloxacillin, epicillin, flucloxacillin, hetacillin, lenampicillin, mecillinam (Amdinocillin), metampicillin, methicillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, penamecillin, penicillin/novobiocin, penicillin/sulbactam, phenethicillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, temocillin, ticarcillin and ticarcillin/clavulanic acid)</p></li>
<li><p><code>polymyxins</code><br />(colistin, polymyxin B and polymyxin B/polysorbate 80)</p></li>
<li><p><code>quinolones</code><br />(besifloxacin, cinoxacin, ciprofloxacin, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, flumequine, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nalidixic acid, nifuroquine, nitroxoline, norfloxacin, ofloxacin, orbifloxacin, oxolinic acid, pazufloxacin, pefloxacin, pipemidic acid, piromidic acid, pradofloxacin, premafloxacin, prulifloxacin, rosoxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin and trovafloxacin)</p></li>
<li><p><code>streptogramins</code><br />(pristinamycin and quinupristin/dalfopristin)</p></li>
<li><p><code>tetracyclines</code><br />(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline, tetracycline and tigecycline)</p></li>
<li><p><code>tetracyclines_except_tgc</code><br />(cetocycline, chlortetracycline, clomocycline, demeclocycline, doxycycline, eravacycline, lymecycline, metacycline, minocycline, omadacycline, oxytetracycline, penimepicycline, rolitetracycline and tetracycline)</p></li>
<li><p><code>trimethoprims</code><br />(brodimoprim, sulfadiazine, sulfadiazine/tetroxoprim, sulfadiazine/trimethoprim, sulfadimethoxine, sulfadimidine, sulfadimidine/trimethoprim, sulfafurazole, sulfaisodimidine, sulfalene, sulfamazone, sulfamerazine, sulfamerazine/trimethoprim, sulfamethizole, sulfamethoxazole, sulfamethoxypyridazine, sulfametomidine, sulfametoxydiazine, sulfametrole/trimethoprim, sulfamoxole, sulfamoxole/trimethoprim, sulfanilamide, sulfaperin, sulfaphenazole, sulfapyridine, sulfathiazole, sulfathiourea, trimethoprim and trimethoprim/sulfamethoxazole)</p></li>
<li><p><code>ureidopenicillins</code><br />(azlocillin, mezlocillin, piperacillin and piperacillin/tazobactam)</p></li>
</ul>

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<meta property="og:title" content="Data Set with Treatment Dosages as Defined by EUCAST — dosage" />
<meta property="og:description" content="EUCAST breakpoints used in this package are based on the dosages in this data set. They can be retrieved with eucast_dosage()." />
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<meta property="og:title" content="Data Set with 2,000 Example Isolates — example_isolates" />
<meta property="og:description" content="A data set containing 2,000 microbial isolates with their full antibiograms. The data set reflects reality and can be used to practice AMR data analysis. For examples, please read the tutorial on our website." />
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<meta property="og:title" content="Data Set with Unclean Data — example_isolates_unclean" />
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9022</span>
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<h1>Filter Isolates on Result in Antimicrobial Class</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/filter_ab_class.R'><code>R/filter_ab_class.R</code></a></small>
<div class="hidden name"><code>filter_ab_class.Rd</code></div>
</div>
<div class="ref-description">
<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='op'>(</span>
<span class='va'>x</span>,
<span class='va'>ab_class</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_aminoglycosides</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_betalactams</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_carbapenems</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_1st_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_2nd_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_3rd_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_4th_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_5th_cephalosporins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_fluoroquinolones</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_glycopeptides</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_macrolides</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_oxazolidinones</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_penicillins</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span>
<span class='fu'>filter_tetracyclines</span><span class='op'>(</span>
<span class='va'>x</span>,
result <span class='op'>=</span> <span class='cn'>NULL</span>,
scope <span class='op'>=</span> <span class='st'>"any"</span>,
only_rsi_columns <span class='op'>=</span> <span class='cn'>FALSE</span>,
<span class='va'>...</span>
<span class='op'>)</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>x</th>
<td><p>a data set</p></td>
</tr>
<tr>
<th>ab_class</th>
<td><p>an antimicrobial class, like <code>"carbapenems"</code>. The columns <code>group</code>, <code>atc_group1</code> and <code>atc_group2</code> of the <a href='antibiotics.html'>antibiotics</a> data set will be searched (case-insensitive) for this value.</p></td>
</tr>
<tr>
<th>result</th>
<td><p>an antibiotic result: S, I or R (or a combination of more of them)</p></td>
</tr>
<tr>
<th>scope</th>
<td><p>the scope to check which variables to check, can be <code>"any"</code> (default) or <code>"all"</code></p></td>
</tr>
<tr>
<th>only_rsi_columns</th>
<td><p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> to indicate whether only columns must be included that were transformed to class <code>&lt;rsi&gt;</code> (see <code><a href='as.rsi.html'>as.rsi()</a></code>) on beforehand (defaults to <code>FALSE</code>)</p></td>
</tr>
<tr>
<th>...</th>
<td><p>arguments passed on to <code>filter_ab_class()</code></p></td>
</tr>
</table>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>All columns of <code>x</code> will be searched for known antibiotic names, abbreviations, brand names and codes (ATC, EARS-Net, WHO, etc.). This means that a filter function like e.g. <code>filter_aminoglycosides()</code> will include column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc.</p>
<p>The group of betalactams consists of all carbapenems, cephalosporins and penicillins.</p>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>
<p><img src='figures/lifecycle_stable.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</strong>. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.</p>
<p>If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<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='co'># same:</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>)</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='va'>example_isolates</span><span class='op'>[</span><span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='op'>)</span>, <span class='op'>]</span>
<span class='co'># \donttest{</span>
<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
<span class='co'># filter on isolates that have any result for any aminoglycoside</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='op'>)</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_ab_class</span><span class='op'>(</span><span class='st'>"aminoglycoside"</span><span class='op'>)</span>
<span class='co'># this is essentially the same as (but without determination of column names):</span>
<span class='va'>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><span class='op'>(</span>.vars <span class='op'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/vars.html'>vars</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"GEN"</span>, <span class='st'>"TOB"</span>, <span class='st'>"AMK"</span>, <span class='st'>"KAN"</span><span class='op'>)</span><span class='op'>)</span>,
.vars_predicate <span class='op'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/all_vars.html'>any_vars</a></span><span class='op'>(</span><span class='va'>.</span> <span class='op'>%in%</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"S"</span>, <span class='st'>"I"</span>, <span class='st'>"R"</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># filter on isolates that show resistance to ANY aminoglycoside</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"any"</span><span class='op'>)</span>
<span class='co'># filter on isolates that show resistance to ALL aminoglycosides</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span>
<span class='co'># filter on isolates that show resistance to</span>
<span class='co'># any aminoglycoside and any fluoroquinolone</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='st'>"R"</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_fluoroquinolones</span><span class='op'>(</span><span class='st'>"R"</span><span class='op'>)</span>
<span class='co'># filter on isolates that show resistance to</span>
<span class='co'># all aminoglycosides and all fluoroquinolones</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_aminoglycosides</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>filter_fluoroquinolones</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span>
<span class='co'># with dplyr 1.0.0 and higher (that adds 'across()'), this is all equal:</span>
<span class='co'># (though the row names on the first are more correct)</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_carbapenems</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span>
<span class='va'>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='op'>(</span><span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='op'>(</span><span class='fu'><a href='antibiotic_class_selectors.html'>carbapenems</a></span><span class='op'>(</span><span class='op'>)</span>, <span class='op'>~</span><span class='va'>.</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span><span class='op'>)</span>
<span class='va'>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='op'>(</span><span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='op'>(</span><span class='fu'><a href='antibiotic_class_selectors.html'>carbapenems</a></span><span class='op'>(</span><span class='op'>)</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>x</span><span class='op'>)</span> <span class='va'>x</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span><span class='op'>)</span>
<span class='op'>}</span>
<span class='co'># }</span>
</pre>
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<meta property="og:description" content="Determine first (weighted) isolates of all microorganisms of every patient per episode and (if needed) per specimen type. These functions support all four methods as summarised by Hindler et al. in 2007 (doi: 10.1086/511864
). To determine patient episodes not necessarily based on microorganisms, use is_new_episode() that also supports grouping with the dplyr package." />
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<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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<meta property="og:title" content="Determine (New) Episodes for Patients — get_episode" />
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10
docs/reference/ggplot_rsi.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="AMR Plots with ggplot2 — ggplot_rsi" />
<meta property="og:description" content="Use these functions to create bar plots for AMR data analysis. All functions rely on ggplot2 functions." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -493,8 +496,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='va'>mo</span> <span class='op'>==</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span><span class='op'>(</span><span class='st'>"E. coli"</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='co'># age_groups() is also a function in this AMR package:</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span><span class='op'>(</span>age_group <span class='op'>=</span> <span class='fu'><a href='age_groups.html'>age_groups</a></span><span class='op'>(</span><span class='va'>age</span><span class='op'>)</span><span class='op'>)</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='va'>age_group</span>,
<span class='va'>CIP</span><span class='op'>)</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='va'>age_group</span>, <span class='va'>CIP</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>x <span class='op'>=</span> <span class='st'>"age_group"</span><span class='op'>)</span>
<span class='co'># a shorter version which also adjusts data label colours:</span>
@ -505,6 +507,8 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<span class='co'># it also supports groups (don't forget to use the group var on `x` or `facet`):</span>
<span class='va'>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='op'>(</span><span class='fu'><a href='mo_property.html'>mo_is_gram_negative</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='co'># select only UTI-specific drugs</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='va'>hospital_id</span>, <span class='va'>AMX</span>, <span class='va'>NIT</span>, <span class='va'>FOS</span>, <span class='va'>TMP</span>, <span class='va'>CIP</span><span class='op'>)</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='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'>ggplot_rsi</span><span class='op'>(</span>x <span class='op'>=</span> <span class='st'>"hospital_id"</span>,

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@ -51,6 +51,9 @@
<meta property="og:title" content="Guess Antibiotic Column — guess_ab_col" />
<meta property="og:description" content="This tries to find a column name in a data set based on information from the antibiotics data set. Also supports WHONET abbreviations." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

13
docs/reference/index.html
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@ -50,6 +50,9 @@
<meta property="og:title" content="Function reference" />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -89,7 +92,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>
@ -406,7 +409,7 @@
</tr><tr>
<td>
<p><code><a href="ab_property.html">ab_name()</a></code> <code><a href="ab_property.html">ab_atc()</a></code> <code><a href="ab_property.html">ab_cid()</a></code> <code><a href="ab_property.html">ab_synonyms()</a></code> <code><a href="ab_property.html">ab_tradenames()</a></code> <code><a href="ab_property.html">ab_group()</a></code> <code><a href="ab_property.html">ab_atc_group1()</a></code> <code><a href="ab_property.html">ab_atc_group2()</a></code> <code><a href="ab_property.html">ab_loinc()</a></code> <code><a href="ab_property.html">ab_ddd()</a></code> <code><a href="ab_property.html">ab_info()</a></code> <code><a href="ab_property.html">ab_url()</a></code> <code><a href="ab_property.html">ab_property()</a></code> </p>
<p><code><a href="ab_property.html">ab_name()</a></code> <code><a href="ab_property.html">set_ab_names()</a></code> <code><a href="ab_property.html">ab_atc()</a></code> <code><a href="ab_property.html">ab_cid()</a></code> <code><a href="ab_property.html">ab_synonyms()</a></code> <code><a href="ab_property.html">ab_tradenames()</a></code> <code><a href="ab_property.html">ab_group()</a></code> <code><a href="ab_property.html">ab_atc_group1()</a></code> <code><a href="ab_property.html">ab_atc_group2()</a></code> <code><a href="ab_property.html">ab_loinc()</a></code> <code><a href="ab_property.html">ab_ddd()</a></code> <code><a href="ab_property.html">ab_ddd_units()</a></code> <code><a href="ab_property.html">ab_info()</a></code> <code><a href="ab_property.html">ab_url()</a></code> <code><a href="ab_property.html">ab_property()</a></code> </p>
</td>
<td><p>Get Properties of an Antibiotic</p></td>
</tr><tr>
@ -534,9 +537,9 @@
</tr><tr>
<td>
<p><code><a href="antibiotic_class_selectors.html">ab_class()</a></code> <code><a href="antibiotic_class_selectors.html">aminoglycosides()</a></code> <code><a href="antibiotic_class_selectors.html">aminopenicillins()</a></code> <code><a href="antibiotic_class_selectors.html">betalactams()</a></code> <code><a href="antibiotic_class_selectors.html">carbapenems()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_1st()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_2nd()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_3rd()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_4th()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_5th()</a></code> <code><a href="antibiotic_class_selectors.html">fluoroquinolones()</a></code> <code><a href="antibiotic_class_selectors.html">glycopeptides()</a></code> <code><a href="antibiotic_class_selectors.html">lincosamides()</a></code> <code><a href="antibiotic_class_selectors.html">lipoglycopeptides()</a></code> <code><a href="antibiotic_class_selectors.html">macrolides()</a></code> <code><a href="antibiotic_class_selectors.html">oxazolidinones()</a></code> <code><a href="antibiotic_class_selectors.html">penicillins()</a></code> <code><a href="antibiotic_class_selectors.html">polymyxins()</a></code> <code><a href="antibiotic_class_selectors.html">streptogramins()</a></code> <code><a href="antibiotic_class_selectors.html">quinolones()</a></code> <code><a href="antibiotic_class_selectors.html">tetracyclines()</a></code> <code><a href="antibiotic_class_selectors.html">ureidopenicillins()</a></code> </p>
<p><code><a href="antibiotic_class_selectors.html">ab_class()</a></code> <code><a href="antibiotic_class_selectors.html">ab_selector()</a></code> <code><a href="antibiotic_class_selectors.html">administrable_per_os()</a></code> <code><a href="antibiotic_class_selectors.html">administrable_iv()</a></code> <code><a href="antibiotic_class_selectors.html">aminoglycosides()</a></code> <code><a href="antibiotic_class_selectors.html">aminopenicillins()</a></code> <code><a href="antibiotic_class_selectors.html">antifungals()</a></code> <code><a href="antibiotic_class_selectors.html">antimycobacterials()</a></code> <code><a href="antibiotic_class_selectors.html">betalactams()</a></code> <code><a href="antibiotic_class_selectors.html">carbapenems()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_1st()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_2nd()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_3rd()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_4th()</a></code> <code><a href="antibiotic_class_selectors.html">cephalosporins_5th()</a></code> <code><a href="antibiotic_class_selectors.html">fluoroquinolones()</a></code> <code><a href="antibiotic_class_selectors.html">glycopeptides()</a></code> <code><a href="antibiotic_class_selectors.html">lincosamides()</a></code> <code><a href="antibiotic_class_selectors.html">lipoglycopeptides()</a></code> <code><a href="antibiotic_class_selectors.html">macrolides()</a></code> <code><a href="antibiotic_class_selectors.html">oxazolidinones()</a></code> <code><a href="antibiotic_class_selectors.html">penicillins()</a></code> <code><a href="antibiotic_class_selectors.html">polymyxins()</a></code> <code><a href="antibiotic_class_selectors.html">streptogramins()</a></code> <code><a href="antibiotic_class_selectors.html">quinolones()</a></code> <code><a href="antibiotic_class_selectors.html">tetracyclines()</a></code> <code><a href="antibiotic_class_selectors.html">trimethoprims()</a></code> <code><a href="antibiotic_class_selectors.html">ureidopenicillins()</a></code> </p>
</td>
<td><p>Antibiotic Class Selectors</p></td>
<td><p>Antibiotic Selectors</p></td>
</tr><tr>
<td>
@ -675,7 +678,7 @@
<tr>
<td>
<p><code><a href="AMR-deprecated.html">p_symbol()</a></code> <code><a href="AMR-deprecated.html">filter_first_weighted_isolate()</a></code> <code><a href="AMR-deprecated.html">key_antibiotics()</a></code> <code><a href="AMR-deprecated.html">key_antibiotics_equal()</a></code> <code><a href="AMR-deprecated.html">filter_ab_class()</a></code> <code><a href="AMR-deprecated.html">filter_aminoglycosides()</a></code> <code><a href="AMR-deprecated.html">filter_betalactams()</a></code> <code><a href="AMR-deprecated.html">filter_carbapenems()</a></code> <code><a href="AMR-deprecated.html">filter_cephalosporins()</a></code> <code><a href="AMR-deprecated.html">filter_1st_cephalosporins()</a></code> <code><a href="AMR-deprecated.html">filter_2nd_cephalosporins()</a></code> <code><a href="AMR-deprecated.html">filter_3rd_cephalosporins()</a></code> <code><a href="AMR-deprecated.html">filter_4th_cephalosporins()</a></code> <code><a href="AMR-deprecated.html">filter_5th_cephalosporins()</a></code> <code><a href="AMR-deprecated.html">filter_fluoroquinolones()</a></code> <code><a href="AMR-deprecated.html">filter_glycopeptides()</a></code> <code><a href="AMR-deprecated.html">filter_macrolides()</a></code> <code><a href="AMR-deprecated.html">filter_oxazolidinones()</a></code> <code><a href="AMR-deprecated.html">filter_penicillins()</a></code> <code><a href="AMR-deprecated.html">filter_tetracyclines()</a></code> </p>
<p><code><a href="AMR-deprecated.html">p_symbol()</a></code> </p>
</td>
<td><p>Deprecated Functions</p></td>
</tr>

5
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@ -51,6 +51,9 @@
<meta property="og:title" content="Data Set with Bacterial Intrinsic Resistance — intrinsic_resistant" />
<meta property="og:description" content="Data set containing defined intrinsic resistance by EUCAST of all bug-drug combinations." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

356
docs/reference/is_new_episode.html
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@ -1,356 +0,0 @@
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<meta property="og:title" content="Determine (new) episodes for patients — is_new_episode" />
<meta property="og:description" content="This function determines which items in a vector can be considered (the start of) a new episode, based on the argument episode_days. This can be used to determine clinical episodes for any epidemiological analysis." />
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<h1>Determine (new) episodes for patients</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/is_new_episode.R'><code>R/is_new_episode.R</code></a></small>
<div class="hidden name"><code>is_new_episode.Rd</code></div>
</div>
<div class="ref-description">
<p>This function determines which items in a vector can be considered (the start of) a new episode, based on the argument <code>episode_days</code>. This can be used to determine clinical episodes for any epidemiological analysis.</p>
</div>
<pre class="usage"><span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>x</span>, episode_days <span class='op'>=</span> <span class='fl'>365</span>, <span class='va'>...</span><span class='op'>)</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>x</th>
<td><p>vector of dates (class <code>Date</code> or <code>POSIXt</code>)</p></td>
</tr>
<tr>
<th>episode_days</th>
<td><p>length of the required episode in days, defaults to 365. Every element in the input will return <code>TRUE</code> after this number of days has passed since the last included date, independent of calendar years. Please see <em>Details</em>.</p></td>
</tr>
<tr>
<th>...</th>
<td><p>arguments passed on to <code><a href='https://rdrr.io/r/base/as.Date.html'>as.Date()</a></code></p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>a <a href='https://rdrr.io/r/base/logical.html'>logical</a> vector</p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>Dates are first sorted from old to new. The oldest date will mark the start of the first episode. After this date, the next date will be marked that is at least <code>episode_days</code> days later than the start of the first episode. From that second marked date on, the next date will be marked that is at least <code>episode_days</code> days later than the start of the second episode which will be the start of the third episode, and so on. Before the vector is being returned, the original order will be restored.</p>
<p>The <code><a href='first_isolate.html'>first_isolate()</a></code> function is a wrapper around the <code>is_new_episode()</code> function, but more efficient for data sets containing microorganism codes or names.</p>
<p>The <code>dplyr</code> package is not required for this function to work, but this function works conveniently inside <code>dplyr</code> verbs such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable lifecycle</h2>
<p><img src='figures/lifecycle_stable.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</strong>. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.</p>
<p>If the unlying code needs breaking changes, they will occur gradually. For example, a argument will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.</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>
<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> 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='co'># `example_isolates` is a dataset available in the AMR package.</span>
<span class='co'># See ?example_isolates.</span>
<span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>$</span><span class='va'>date</span><span class='op'>)</span>
<span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>$</span><span class='va'>date</span>, episode_days <span class='op'>=</span> <span class='fl'>60</span><span class='op'>)</span>
<span class='co'># \donttest{</span>
<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
<span class='co'># is_new_episode() can also be used in dplyr verbs to determine patient</span>
<span class='co'># episodes based on any (combination of) grouping variables:</span>
<span class='va'>example_isolates</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>condition <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/sample.html'>sample</a></span><span class='op'>(</span>x <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"A"</span>, <span class='st'>"B"</span>, <span class='st'>"C"</span><span class='op'>)</span>,
size <span class='op'>=</span> <span class='fl'>2000</span>,
replace <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span><span class='op'>)</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='op'>(</span><span class='va'>condition</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>new_episode <span class='op'>=</span> <span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span><span class='op'>)</span><span class='op'>)</span>
<span class='va'>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='op'>(</span><span class='va'>hospital_id</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise</a></span><span class='op'>(</span>patients <span class='op'>=</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/n_distinct.html'>n_distinct</a></span><span class='op'>(</span><span class='va'>patient_id</span><span class='op'>)</span>,
n_episodes_365 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span>, episode_days <span class='op'>=</span> <span class='fl'>365</span><span class='op'>)</span><span class='op'>)</span>,
n_episodes_60 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span>, episode_days <span class='op'>=</span> <span class='fl'>60</span><span class='op'>)</span><span class='op'>)</span>,
n_episodes_30 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/sum.html'>sum</a></span><span class='op'>(</span><span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span>, episode_days <span class='op'>=</span> <span class='fl'>30</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># grouping on patients and microorganisms leads to the same results</span>
<span class='co'># as first_isolate():</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='va'>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='op'>(</span><span class='fu'><a href='first_isolate.html'>first_isolate</a></span><span class='op'>(</span><span class='va'>.</span>, include_unknown <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span><span class='op'>)</span>
<span class='va'>y</span> <span class='op'>&lt;-</span> <span class='va'>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='op'>(</span><span class='va'>patient_id</span>, <span class='va'>mo</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span><span class='op'>)</span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/r/base/identical.html'>identical</a></span><span class='op'>(</span><span class='va'>x</span><span class='op'>$</span><span class='va'>patient_id</span>, <span class='va'>y</span><span class='op'>$</span><span class='va'>patient_id</span><span class='op'>)</span>
<span class='co'># but is_new_episode() has a lot more flexibility than first_isolate(),</span>
<span class='co'># since you can now group on anything that seems relevant:</span>
<span class='va'>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='op'>(</span><span class='va'>patient_id</span>, <span class='va'>mo</span>, <span class='va'>hospital_id</span>, <span class='va'>ward_icu</span><span class='op'>)</span> <span class='op'>%&gt;%</span>
<span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span><span class='op'>(</span>flag_episode <span class='op'>=</span> <span class='fu'>is_new_episode</span><span class='op'>(</span><span class='va'>date</span><span class='op'>)</span><span class='op'>)</span>
<span class='op'>}</span>
<span class='co'># }</span>
</pre>
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<h1>Create Identifier of an Isolate</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/isolate_identifier.R'><code>R/isolate_identifier.R</code></a></small>
<div class="hidden name"><code>isolate_identifier.Rd</code></div>
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<div class="ref-description">
<p>This function will paste the microorganism code with all antimicrobial results into one string for each row in a data set. This is useful to compare isolates, e.g. between institutions or regions, when there is no genotyping available.</p>
</div>
<pre class="usage"><span class='fu'>isolate_identifier</span><span class='op'>(</span><span class='va'>x</span>, col_mo <span class='op'>=</span> <span class='cn'>NULL</span>, cols_ab <span class='op'>=</span> <span class='cn'>NULL</span><span class='op'>)</span>
<span class='co'># S3 method for isolate_identifier</span>
<span class='fu'><a href='https://rdrr.io/r/base/all.equal.html'>all.equal</a></span><span class='op'>(</span><span class='va'>target</span>, <span class='va'>current</span>, ignore_empty_results <span class='op'>=</span> <span class='cn'>TRUE</span>, <span class='va'>...</span><span class='op'>)</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>x</th>
<td><p>data with antibiotic columns, such as <code>amox</code>, <code>AMX</code> and <code>AMC</code></p></td>
</tr>
<tr>
<th>col_mo</th>
<td><p>column name of the IDs of the microorganisms (see <code><a href='as.mo.html'>as.mo()</a></code>), defaults to the first column of class <code><a href='as.mo.html'>mo</a></code>. Values will be coerced using <code><a href='as.mo.html'>as.mo()</a></code>.</p></td>
</tr>
<tr>
<th>cols_ab</th>
<td><p>a character vector of column names of <code>x</code>, or (a combination with) an <a href='[ab_class()]'>antibiotic selector function</a>, such as <code><a href='antibiotic_class_selectors.html'>carbapenems()</a></code> and <code><a href='antibiotic_class_selectors.html'>aminoglycosides()</a></code></p></td>
</tr>
<tr>
<th>target</th>
<td><p><span style="R">R</span> object.</p></td>
</tr>
<tr>
<th>current</th>
<td><p>other <span style="R">R</span> object, to be compared with <code>target</code>.</p></td>
</tr>
<tr>
<th>ignore_empty_results</th>
<td><p>a logical to indicate whether empty results must be ignored, so that only values R, S and I will be compared</p></td>
</tr>
<tr>
<th>...</th>
<td><p>column name of an antibiotic, see section <em>Antibiotics</em> below</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="experimental-lifecycle"><a class="anchor" href="#experimental-lifecycle"></a>Experimental Lifecycle</h2>
<p><img src='figures/lifecycle_experimental.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>experimental</strong>. An experimental function is in early stages of development. The unlying code might be changing frequently. Experimental functions might be removed without deprecation, so you are generally best off waiting until a function is more mature before you use it in production code. Experimental functions are only available in development versions of this <code>AMR</code> package and will thus not be included in releases that are submitted to CRAN, since such functions have not yet matured enough.</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>
<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 data analysis, the <a href='https://msberends.github.io/AMR/reference/'>complete documentation of all functions</a> 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='co'># automatic selection of microorganism and antibiotics (i.e., all &lt;rsi&gt; columns, see ?as.rsi)</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='fu'>isolate_identifier</span><span class='op'>(</span><span class='va'>example_isolates</span><span class='op'>)</span>
<span class='co'># ignore microorganism codes, only use antimicrobial results</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='fu'>isolate_identifier</span><span class='op'>(</span><span class='va'>example_isolates</span>, col_mo <span class='op'>=</span> <span class='cn'>FALSE</span>, cols_ab <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"AMX"</span>, <span class='st'>"TZP"</span>, <span class='st'>"GEN"</span>, <span class='st'>"TOB"</span><span class='op'>)</span><span class='op'>)</span>
<span class='co'># select antibiotics from certain antibiotic classes</span>
<span class='va'>x</span> <span class='op'>&lt;-</span> <span class='fu'>isolate_identifier</span><span class='op'>(</span><span class='va'>example_isolates</span>, cols_ab <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fu'><a href='antibiotic_class_selectors.html'>carbapenems</a></span><span class='op'>(</span><span class='op'>)</span>, <span class='fu'><a href='antibiotic_class_selectors.html'>aminoglycosides</a></span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span>
</pre>
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<meta property="og:title" content="Italicise Taxonomic Families, Genera, Species, Subspecies — italicise_taxonomy" />
<meta property="og:description" content="According to the binomial nomenclature, the lowest four taxonomic levels (family, genus, species, subspecies) should be printed in italic. This function finds taxonomic names within strings and makes them italic." />
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<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 data set or to a character vector." />
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<meta property="og:title" content="(Key) Antimicrobials for First Weighted Isolates — key_antimicrobials" />
<meta property="og:description" content="These functions can be used to determine first weighted isolates by considering the phenotype for isolate selection (see first_isolate()). Using a phenotype-based method to determine first isolates is more reliable than methods that disregard phenotypes." />
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<meta property="og:title" content="Kurtosis of the Sample — kurtosis" />
<meta property="og:description" content="Kurtosis is a measure of the &quot;tailedness&quot; of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0." />
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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." />
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@ -92,7 +95,7 @@ This page contains a section for every lifecycle (with text borrowed from the af
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<meta property="og:title" content="Vectorised Pattern Matching with Keyboard Shortcut — like" />
<meta property="og:description" content="Convenient wrapper around grepl() to match a pattern: x %like% pattern. It always returns a logical vector and is always case-insensitive (use x %like_case% pattern for case-sensitive matching). Also, pattern can be as long as x to compare items of each index in both vectors, or they both can have the same length to iterate over all cases." />
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<meta property="og:title" content="Data Set with 5,605 Common Microorganism Codes — microorganisms.codes" />
<meta property="og:description" content="A data set containing commonly used codes for microorganisms, from laboratory systems and WHONET. Define your own with set_mo_source(). They will all be searched when using as.mo() and consequently all the mo_* functions." />
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<meta property="og:title" content="Data Set with 70,026 Microorganisms — microorganisms" />
<meta property="og:description" content="A data set containing the microbial taxonomy, last updated in March 2021, of six kingdoms from the Catalogue of Life (CoL) and the List of Prokaryotic names with Standing in Nomenclature (LPSN). MO codes can be looked up using as.mo()." />
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<meta property="og:title" content="Data Set with Previously Accepted Taxonomic Names — microorganisms.old" />
<meta property="og:description" content="A data set containing old (previously valid or accepted) taxonomic names according to the Catalogue of Life. This data set is used internally by as.mo()." />
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<meta property="og:title" content="Calculate the Matching Score for Microorganisms — mo_matching_score" />
<meta property="og:description" content="This algorithm is used by as.mo() and all the mo_* functions to determine the most probable match of taxonomic records based on user input." />
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@ -281,6 +284,7 @@
</ul>
<p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence. <strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales. <strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Proteobacteria, Firmicutes, Actinobacteria or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Alternaria</em>, <em>Anaerosalibacter</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobacterium</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Branhamella</em>, <em>Calymmatobacterium</em>, <em>Candida</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Chaetomium</em>, <em>Chryseobacterium</em>, <em>Chryseomonas</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Hendersonula</em>, <em>Hypomyces</em>, <em>Koserella</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oidiodendron</em>, <em>Phoma</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Stomatococcus</em>, <em>Treponema</em>, <em>Trichoderma</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Tritirachium</em> or <em>Ureaplasma</em>. <strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
<h2 class="hasAnchor" id="stable-lifecycle"><a class="anchor" href="#stable-lifecycle"></a>Stable Lifecycle</h2>

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<meta property="og:title" content="Get Properties of a Microorganism — mo_property" />
<meta property="og:description" content="Use these functions to return a specific property of a microorganism based on the latest accepted taxonomy. All input values will be evaluated internally with as.mo(), which makes it possible to use microbial abbreviations, codes and names as input. See Examples." />
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@ -356,7 +359,7 @@
<p>The short name - <code>mo_shortname()</code> - almost always returns the first character of the genus and the full species, like <code>"E. coli"</code>. Exceptions are abbreviations of staphylococci (such as <em>"CoNS"</em>, Coagulase-Negative Staphylococci) and beta-haemolytic streptococci (such as <em>"GBS"</em>, Group B Streptococci). Please bear in mind that e.g. <em>E. coli</em> could mean <em>Escherichia coli</em> (kingdom of Bacteria) as well as <em>Entamoeba coli</em> (kingdom of Protozoa). Returning to the full name will be done using <code><a href='as.mo.html'>as.mo()</a></code> internally, giving priority to bacteria and human pathogens, i.e. <code>"E. coli"</code> will be considered <em>Escherichia coli</em>. In other words, <code>mo_fullname(mo_shortname("Entamoeba coli"))</code> returns <code>"Escherichia coli"</code>.</p>
<p>Since the top-level of the taxonomy is sometimes referred to as 'kingdom' and sometimes as 'domain', the functions <code>mo_kingdom()</code> and <code>mo_domain()</code> return the exact same results.</p>
<p>The Gram stain - <code>mo_gramstain()</code> - will be determined based on the taxonomic kingdom and phylum. According to Cavalier-Smith (2002, <a href='https://pubmed.ncbi.nlm.nih.gov/11837318'>PMID 11837318</a>), who defined subkingdoms Negibacteria and Posibacteria, only these phyla are Posibacteria: Actinobacteria, Chloroflexi, Firmicutes and Tenericutes. These bacteria are considered Gram-positive - all other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value <code>NA</code>. Functions <code>mo_is_gram_negative()</code> and <code>mo_is_gram_positive()</code> always return <code>TRUE</code> or <code>FALSE</code> (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p>
<p>The Gram stain - <code>mo_gramstain()</code> - will be determined based on the taxonomic kingdom and phylum. According to Cavalier-Smith (2002, <a href='https://pubmed.ncbi.nlm.nih.gov/11837318'>PMID 11837318</a>), who defined subkingdoms Negibacteria and Posibacteria, only these phyla are Posibacteria: Actinobacteria, Chloroflexi, Firmicutes and Tenericutes. These bacteria are considered Gram-positive, except for members of the class Negativicutes which are Gram-negative. Members of other bacterial phyla are all considered Gram-negative. Species outside the kingdom of Bacteria will return a value <code>NA</code>. Functions <code>mo_is_gram_negative()</code> and <code>mo_is_gram_positive()</code> always return <code>TRUE</code> or <code>FALSE</code> (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p>
<p>Determination of yeasts - <code>mo_is_yeast()</code> - will be based on the taxonomic kingdom and class. <em>Budding yeasts</em> are fungi of the phylum Ascomycetes, class Saccharomycetes (also called Hemiascomycetes). <em>True yeasts</em> are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are fungi and member of the taxonomic class Saccharomycetes, the function will return <code>TRUE</code>. It returns <code>FALSE</code> otherwise (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>).</p>
<p>Intrinsic resistance - <code>mo_is_intrinsic_resistant()</code> - will be determined based on the <a href='intrinsic_resistant.html'>intrinsic_resistant</a> data set, which is based on <a href='https://www.eucast.org/expert_rules_and_intrinsic_resistance/'>'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.2</a> (2020). The <code>mo_is_intrinsic_resistant()</code> functions can be vectorised over arguments <code>x</code> (input for microorganisms) and over <code>ab</code> (input for antibiotics).</p>
<p>All output <a href='translate.html'>will be translated</a> where possible.</p>
@ -385,6 +388,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
</ul>
<p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence. <strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales. <strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Proteobacteria, Firmicutes, Actinobacteria or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Alternaria</em>, <em>Anaerosalibacter</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobacterium</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Branhamella</em>, <em>Calymmatobacterium</em>, <em>Candida</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Chaetomium</em>, <em>Chryseobacterium</em>, <em>Chryseomonas</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Hendersonula</em>, <em>Hypomyces</em>, <em>Koserella</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oidiodendron</em>, <em>Phoma</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Stomatococcus</em>, <em>Treponema</em>, <em>Trichoderma</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Tritirachium</em> or <em>Ureaplasma</em>. <strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
<h2 class="hasAnchor" id="catalogue-of-life"><a class="anchor" href="#catalogue-of-life"></a>Catalogue of Life</h2>

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<h1>Symbol of a p-value</h1>
<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/p_symbol.R'><code>R/p_symbol.R</code></a></small>
<div class="hidden name"><code>p_symbol.Rd</code></div>
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<div class="ref-description">
<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='op'>(</span><span class='va'>p</span>, emptychar <span class='op'>=</span> <span class='st'>" "</span><span class='op'>)</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>p</th>
<td><p>p value</p></td>
</tr>
<tr>
<th>emptychar</th>
<td><p>text to show when <code>p &gt; 0.1</code></p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>Text</p>
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p><strong>NOTE</strong>: this function will be moved to the <code>cleaner</code> package when a new version is being published on CRAN.</p>
<h2 class="hasAnchor" id="questioning-lifecycle"><a class="anchor" href="#questioning-lifecycle"></a>Questioning lifecycle</h2>
<p><img src='figures/lifecycle_questioning.svg' style=margin-bottom:5px /> <br />
The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>questioning</strong>. This function might be no longer be optimal approach, or is it questionable whether this function should be in this <code>AMR</code> package at all.</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>
<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> 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>
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<meta property="og:description" content="Performs a principal component analysis (PCA) based on a data set with automatic determination for afterwards plotting the groups and labels, and automatic filtering on only suitable (i.e. non-empty and numeric) variables." />
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<meta property="og:title" content="Plotting for Classes rsi, mic and disk — plot" />
<meta property="og:description" content="Functions to plot classes rsi, mic and disk, with support for base R and ggplot2." />
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7
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<meta property="og:description" content="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 summarise() from the dplyr package and also support grouped variables, see Examples.
resistance() should be used to calculate resistance, susceptibility() should be used to calculate susceptibility." />
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@ -91,7 +94,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
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@ -386,7 +389,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
A microorganism is categorised as <em>Resistant</em> when there is a high likelihood of therapeutic failure even when there is increased exposure. Exposure is a function of how the mode of administration, dose, dosing interval, infusion time, as well as distribution and excretion of the antimicrobial agent will influence the infecting organism at the site of infection.</p></li>
<li><p><strong>S = Susceptible</strong><br />
A microorganism is categorised as <em>Susceptible, standard dosing regimen</em>, when there is a high likelihood of therapeutic success using a standard dosing regimen of the agent.</p></li>
<li><p><strong>I = Increased exposure, but still susceptible</strong><br />
<li><p><strong>I = Susceptible, Increased exposure</strong><br />
A microorganism is categorised as <em>Susceptible, Increased exposure</em> when there is a high likelihood of therapeutic success because exposure to the agent is increased by adjusting the dosing regimen or by its concentration at the site of infection.</p></li>
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<meta property="og:title" content="Random MIC Values/Disk Zones/RSI Generation — random" />
<meta property="og:description" content="These functions can be used for generating random MIC values and disk diffusion diameters, for AMR data analysis practice. By providing a microorganism and antimicrobial agent, the generated results will reflect reality as much as possible." />
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@ -277,7 +280,7 @@
</tr>
<tr>
<th>prob_RSI</th>
<td><p>a vector of length 3: the probabilities for R (1st value), S (2nd value) and I (3rd value)</p></td>
<td><p>a vector of length 3: the probabilities for "R" (1st value), "S" (2nd value) and "I" (3rd value)</p></td>
</tr>
</table>

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<meta property="og:title" content="Predict Antimicrobial Resistance — resistance_predict" />
<meta property="og:description" content="Create a prediction model to predict antimicrobial resistance for the next years on statistical solid ground. Standard errors (SE) will be returned as columns se_min and se_max. See Examples for a real live example." />
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</div>
@ -400,7 +403,7 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
A microorganism is categorised as <em>Resistant</em> when there is a high likelihood of therapeutic failure even when there is increased exposure. Exposure is a function of how the mode of administration, dose, dosing interval, infusion time, as well as distribution and excretion of the antimicrobial agent will influence the infecting organism at the site of infection.</p></li>
<li><p><strong>S = Susceptible</strong><br />
A microorganism is categorised as <em>Susceptible, standard dosing regimen</em>, when there is a high likelihood of therapeutic success using a standard dosing regimen of the agent.</p></li>
<li><p><strong>I = Increased exposure, but still susceptible</strong><br />
<li><p><strong>I = Susceptible, Increased exposure</strong><br />
A microorganism is categorised as <em>Susceptible, Increased exposure</em> when there is a high likelihood of therapeutic success because exposure to the agent is increased by adjusting the dosing regimen or by its concentration at the site of infection.</p></li>
</ul>

5
docs/reference/rsi_translation.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Data Set for R/SI Interpretation — rsi_translation" />
<meta property="og:description" content="Data set containing reference data to interpret MIC and disk diffusion to R/SI values, according to international guidelines. Currently implemented guidelines are EUCAST (2011-2021) and CLSI (2010-2020). Use as.rsi() to transform MICs or disks measurements to R/SI values." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/skewness.html
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@ -52,6 +52,9 @@
<meta property="og:description" content="Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.
When negative ('left-skewed'): the left tail is longer; the mass of the distribution is concentrated on the right of a histogram. When positive ('right-skewed'): the right tail is longer; the mass of the distribution is concentrated on the left of a histogram. A normal distribution has a skewness of 0." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -91,7 +94,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>

5
docs/reference/translate.html
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@ -51,6 +51,9 @@
<meta property="og:title" content="Translate Strings from AMR Package — translate" />
<meta property="og:description" content="For language-dependent output of AMR functions, like mo_name(), mo_gramstain(), mo_type() and ab_name()." />
<meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:creator" content="@msberends" />
<meta name="twitter:site" content="@univgroningen" />
@ -90,7 +93,7 @@
</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">1.7.1.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.7.1.9023</span>
</span>
</div>