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<a href="../articles/AMR.html">
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<span class="fas fa-directions"></span>
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Conduct AMR analysis
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Predict antimicrobial resistance
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Data sets for download / own use
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Conduct principal component analysis for AMR
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Determine multi-drug resistance (MDR)
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Work with WHONET data
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Import data from SPSS/SAS/Stata
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Apply EUCAST rules
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Get properties of a microorganism
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Get properties of an antibiotic
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Other: benchmarks
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Source Code
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<div class="contents col-md-9">
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<h1>Reference</h1>
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</div>
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<table class="ref-index">
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<colgroup>
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<col class="title" />
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<th colspan="2">
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<h2 id="section-background-information-on-included-data" class="hasAnchor"><a href="#section-background-information-on-included-data" class="anchor"></a>Background information on included data</h2>
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<p class="section-desc"><p>Some pages about our package and its external sources. Be sure to read our <a href="./../articles/index.html">How To’s</a> for more information about how to work with functions in this package.</p></p>
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</th>
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</tr>
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</tbody><tbody>
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<tr>
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<td>
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<p><code><a href="AMR.html">AMR</a></code> </p>
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</td>
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<td><p>The <code>AMR</code> Package</p></td>
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</tr><tr>
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<td>
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<p><code><a href="example_isolates.html">example_isolates</a></code> </p>
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</td>
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<td><p>Data Set with 2,000 Example Isolates</p></td>
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</tr><tr>
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<td>
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<p><code><a href="microorganisms.html">microorganisms</a></code> </p>
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</td>
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<td><p>Data Set with 70,026 Microorganisms</p></td>
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</tr><tr>
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<td>
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<p><code><a href="microorganisms.codes.html">microorganisms.codes</a></code> </p>
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</td>
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<td><p>Data Set with 5,580 Common Microorganism Codes</p></td>
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</tr><tr>
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<td>
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<p><code><a href="microorganisms.old.html">microorganisms.old</a></code> </p>
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</td>
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<td><p>Data Set with Previously Accepted Taxonomic Names</p></td>
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</tr><tr>
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<td>
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<p><code><a href="antibiotics.html">antibiotics</a></code> <code><a href="antibiotics.html">antivirals</a></code> </p>
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</td>
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<td><p>Data Sets with 558 Antimicrobials</p></td>
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</tr><tr>
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<td>
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<p><code><a href="intrinsic_resistant.html">intrinsic_resistant</a></code> </p>
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</td>
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<td><p>Data Set with Bacterial Intrinsic Resistance</p></td>
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</tr><tr>
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<td>
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<p><code><a href="dosage.html">dosage</a></code> </p>
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</td>
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<td><p>Data Set with Treatment Dosages as Defined by EUCAST</p></td>
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</tr><tr>
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<td>
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<p><code><a href="catalogue_of_life.html">catalogue_of_life</a></code> </p>
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</td>
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<td><p>The Catalogue of Life</p></td>
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</tr><tr>
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<td>
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<p><code><a href="catalogue_of_life_version.html">catalogue_of_life_version()</a></code> </p>
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</td>
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<td><p>Version info of included Catalogue of Life</p></td>
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</tr><tr>
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<td>
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<p><code><a href="WHOCC.html">WHOCC</a></code> </p>
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</td>
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<td><p>WHOCC: WHO Collaborating Centre for Drug Statistics Methodology</p></td>
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</tr><tr>
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<td>
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<p><code><a href="lifecycle.html">lifecycle</a></code> </p>
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</td>
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<td><p>Lifecycles of Functions in the <code>AMR</code> Package</p></td>
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</tr><tr>
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<td>
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<p><code><a href="example_isolates_unclean.html">example_isolates_unclean</a></code> </p>
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</td>
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<td><p>Data Set with Unclean Data</p></td>
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</tr><tr>
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<td>
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<p><code><a href="rsi_translation.html">rsi_translation</a></code> </p>
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</td>
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<td><p>Data Set for R/SI Interpretation</p></td>
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</tr><tr>
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<td>
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<p><code><a href="WHONET.html">WHONET</a></code> </p>
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</td>
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<td><p>Data Set with 500 Isolates - WHONET Example</p></td>
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</tr>
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</tbody><tbody>
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<tr>
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<th colspan="2">
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<h2 id="section-preparing-data-microorganisms" class="hasAnchor"><a href="#section-preparing-data-microorganisms" class="anchor"></a>Preparing data: microorganisms</h2>
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<p class="section-desc"><p>These functions are meant to get taxonomically valid properties of microorganisms from any input. Use <code><a href="../reference/mo_source.html">mo_source()</a></code> to teach this package how to translate your own codes to valid microorganism codes.</p></p>
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</th>
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</tr>
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</tbody><tbody>
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<tr>
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<td>
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<p><code><a href="as.mo.html">as.mo()</a></code> <code><a href="as.mo.html">is.mo()</a></code> <code><a href="as.mo.html">mo_failures()</a></code> <code><a href="as.mo.html">mo_uncertainties()</a></code> <code><a href="as.mo.html">mo_renamed()</a></code> </p>
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</td>
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<td><p>Transform Input to a Microorganism ID</p></td>
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</tr><tr>
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<td>
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<p><code><a href="mo_property.html">mo_name()</a></code> <code><a href="mo_property.html">mo_fullname()</a></code> <code><a href="mo_property.html">mo_shortname()</a></code> <code><a href="mo_property.html">mo_subspecies()</a></code> <code><a href="mo_property.html">mo_species()</a></code> <code><a href="mo_property.html">mo_genus()</a></code> <code><a href="mo_property.html">mo_family()</a></code> <code><a href="mo_property.html">mo_order()</a></code> <code><a href="mo_property.html">mo_class()</a></code> <code><a href="mo_property.html">mo_phylum()</a></code> <code><a href="mo_property.html">mo_kingdom()</a></code> <code><a href="mo_property.html">mo_domain()</a></code> <code><a href="mo_property.html">mo_type()</a></code> <code><a href="mo_property.html">mo_gramstain()</a></code> <code><a href="mo_property.html">mo_is_gram_negative()</a></code> <code><a href="mo_property.html">mo_is_gram_positive()</a></code> <code><a href="mo_property.html">mo_is_yeast()</a></code> <code><a href="mo_property.html">mo_is_intrinsic_resistant()</a></code> <code><a href="mo_property.html">mo_snomed()</a></code> <code><a href="mo_property.html">mo_ref()</a></code> <code><a href="mo_property.html">mo_authors()</a></code> <code><a href="mo_property.html">mo_year()</a></code> <code><a href="mo_property.html">mo_rank()</a></code> <code><a href="mo_property.html">mo_taxonomy()</a></code> <code><a href="mo_property.html">mo_synonyms()</a></code> <code><a href="mo_property.html">mo_info()</a></code> <code><a href="mo_property.html">mo_url()</a></code> <code><a href="mo_property.html">mo_property()</a></code> </p>
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</td>
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<td><p>Get Properties of a Microorganism</p></td>
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</tr><tr>
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<td>
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<p><code><a href="mo_source.html">set_mo_source()</a></code> <code><a href="mo_source.html">get_mo_source()</a></code> </p>
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</td>
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<td><p>User-Defined Reference Data Set for Microorganisms</p></td>
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||
</tr>
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</tbody><tbody>
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<tr>
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<th colspan="2">
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<h2 id="section-preparing-data-antibiotics" class="hasAnchor"><a href="#section-preparing-data-antibiotics" class="anchor"></a>Preparing data: antibiotics</h2>
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<p class="section-desc"><p>Use these functions to get valid properties of antibiotics from any input or to clean your input. You can even retrieve drug names and doses from clinical text records, using <code><a href="../reference/ab_from_text.html">ab_from_text()</a></code>.</p></p>
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</th>
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</tr>
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</tbody><tbody>
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<tr>
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<td>
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<p><code><a href="as.ab.html">as.ab()</a></code> <code><a href="as.ab.html">is.ab()</a></code> </p>
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</td>
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<td><p>Transform Input to an Antibiotic ID</p></td>
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</tr><tr>
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<td>
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<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>
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</td>
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<td><p>Get Properties of an Antibiotic</p></td>
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</tr><tr>
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<td>
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<p><code><a href="ab_from_text.html">ab_from_text()</a></code> </p>
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</td>
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<td><p>Retrieve Antimicrobial Drug Names and Doses from Clinical Text</p></td>
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</tr><tr>
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<td>
|
||
<p><code><a href="atc_online.html">atc_online_property()</a></code> <code><a href="atc_online.html">atc_online_groups()</a></code> <code><a href="atc_online.html">atc_online_ddd()</a></code> </p>
|
||
</td>
|
||
<td><p>Get ATC Properties from WHOCC Website</p></td>
|
||
</tr>
|
||
</tbody><tbody>
|
||
<tr>
|
||
<th colspan="2">
|
||
<h2 id="section-preparing-data-antimicrobial-resistance" class="hasAnchor"><a href="#section-preparing-data-antimicrobial-resistance" class="anchor"></a>Preparing data: antimicrobial resistance</h2>
|
||
<p class="section-desc"><p>With <code><a href="../reference/as.mic.html">as.mic()</a></code> and <code><a href="../reference/as.disk.html">as.disk()</a></code> you can transform your raw input to valid MIC or disk diffusion values. Use <code><a href="../reference/as.rsi.html">as.rsi()</a></code> for cleaning raw data to let it only contain “R”, “I” and “S”, or to interpret MIC or disk diffusion values as R/SI based on the lastest EUCAST and CLSI guidelines. Afterwards, you can extend antibiotic interpretations by applying <a href="https://www.eucast.org/expert_rules_and_intrinsic_resistance/">EUCAST rules</a> with <code><a href="../reference/eucast_rules.html">eucast_rules()</a></code>.</p></p>
|
||
</th>
|
||
</tr>
|
||
|
||
|
||
</tbody><tbody>
|
||
|
||
|
||
<tr>
|
||
|
||
<td>
|
||
<p><code><a href="as.rsi.html">as.rsi()</a></code> <code><a href="as.rsi.html">is.rsi()</a></code> <code><a href="as.rsi.html">is.rsi.eligible()</a></code> </p>
|
||
</td>
|
||
<td><p>Interpret MIC and Disk Values, or Clean Raw R/SI Data</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="as.mic.html">as.mic()</a></code> <code><a href="as.mic.html">is.mic()</a></code> </p>
|
||
</td>
|
||
<td><p>Transform Input to Minimum Inhibitory Concentrations (MIC)</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="as.disk.html">as.disk()</a></code> <code><a href="as.disk.html">is.disk()</a></code> </p>
|
||
</td>
|
||
<td><p>Transform Input to Disk Diffusion Diameters</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="eucast_rules.html">eucast_rules()</a></code> <code><a href="eucast_rules.html">eucast_dosage()</a></code> </p>
|
||
</td>
|
||
<td><p>Apply EUCAST Rules</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="custom_eucast_rules.html">custom_eucast_rules()</a></code> </p>
|
||
</td>
|
||
<td><p>Define Custom EUCAST Rules</p></td>
|
||
</tr>
|
||
</tbody><tbody>
|
||
<tr>
|
||
<th colspan="2">
|
||
<h2 id="section-analysing-data-antimicrobial-resistance" class="hasAnchor"><a href="#section-analysing-data-antimicrobial-resistance" class="anchor"></a>Analysing data: antimicrobial resistance</h2>
|
||
<p class="section-desc"><p>Use these function for the analysis part. You can use <code><a href="../reference/proportion.html">susceptibility()</a></code> or <code><a href="../reference/proportion.html">resistance()</a></code> on any antibiotic column. Be sure to first select the isolates that are appropiate for analysis, by using <code><a href="../reference/first_isolate.html">first_isolate()</a></code> or <code><a href="../reference/get_episode.html">is_new_episode()</a></code>. You can also filter your data on certain resistance in certain antibiotic classes (<code><a href="../reference/filter_ab_class.html">filter_ab_class()</a></code>), or determine multi-drug resistant microorganisms (MDRO, <code><a href="../reference/mdro.html">mdro()</a></code>).</p></p>
|
||
</th>
|
||
</tr>
|
||
|
||
|
||
</tbody><tbody>
|
||
|
||
|
||
<tr>
|
||
|
||
<td>
|
||
<p><code><a href="proportion.html">resistance()</a></code> <code><a href="proportion.html">susceptibility()</a></code> <code><a href="proportion.html">proportion_R()</a></code> <code><a href="proportion.html">proportion_IR()</a></code> <code><a href="proportion.html">proportion_I()</a></code> <code><a href="proportion.html">proportion_SI()</a></code> <code><a href="proportion.html">proportion_S()</a></code> <code><a href="proportion.html">proportion_df()</a></code> <code><a href="proportion.html">rsi_df()</a></code> </p>
|
||
</td>
|
||
<td><p>Calculate Microbial Resistance</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="count.html">count_resistant()</a></code> <code><a href="count.html">count_susceptible()</a></code> <code><a href="count.html">count_R()</a></code> <code><a href="count.html">count_IR()</a></code> <code><a href="count.html">count_I()</a></code> <code><a href="count.html">count_SI()</a></code> <code><a href="count.html">count_S()</a></code> <code><a href="count.html">count_all()</a></code> <code><a href="count.html">n_rsi()</a></code> <code><a href="count.html">count_df()</a></code> </p>
|
||
</td>
|
||
<td><p>Count Available Isolates</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="get_episode.html">get_episode()</a></code> <code><a href="get_episode.html">is_new_episode()</a></code> </p>
|
||
</td>
|
||
<td><p>Determine (New) Episodes for Patients</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="first_isolate.html">first_isolate()</a></code> <code><a href="first_isolate.html">filter_first_isolate()</a></code> </p>
|
||
</td>
|
||
<td><p>Determine First (Weighted) Isolates</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="key_antimicrobials.html">key_antimicrobials()</a></code> <code><a href="key_antimicrobials.html">all_antimicrobials()</a></code> <code><a href="key_antimicrobials.html">antimicrobials_equal()</a></code> </p>
|
||
</td>
|
||
<td><p>(Key) Antimicrobials for First Weighted Isolates</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="mdro.html">mdro()</a></code> <code><a href="mdro.html">custom_mdro_guideline()</a></code> <code><a href="mdro.html">brmo()</a></code> <code><a href="mdro.html">mrgn()</a></code> <code><a href="mdro.html">mdr_tb()</a></code> <code><a href="mdro.html">mdr_cmi2012()</a></code> <code><a href="mdro.html">eucast_exceptional_phenotypes()</a></code> </p>
|
||
</td>
|
||
<td><p>Determine Multidrug-Resistant Organisms (MDRO)</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="plot.html">plot(<i><mic></i>)</a></code> <code><a href="plot.html">ggplot(<i><mic></i>)</a></code> <code><a href="plot.html">plot(<i><disk></i>)</a></code> <code><a href="plot.html">ggplot(<i><disk></i>)</a></code> <code><a href="plot.html">plot(<i><rsi></i>)</a></code> <code><a href="plot.html">ggplot(<i><rsi></i>)</a></code> </p>
|
||
</td>
|
||
<td><p>Plotting for Classes <code>rsi</code>, <code>mic</code> and <code>disk</code></p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="ggplot_rsi.html">ggplot_rsi()</a></code> <code><a href="ggplot_rsi.html">geom_rsi()</a></code> <code><a href="ggplot_rsi.html">facet_rsi()</a></code> <code><a href="ggplot_rsi.html">scale_y_percent()</a></code> <code><a href="ggplot_rsi.html">scale_rsi_colours()</a></code> <code><a href="ggplot_rsi.html">theme_rsi()</a></code> <code><a href="ggplot_rsi.html">labels_rsi_count()</a></code> </p>
|
||
</td>
|
||
<td><p>AMR Plots with <code>ggplot2</code></p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="bug_drug_combinations.html">bug_drug_combinations()</a></code> <code><a href="bug_drug_combinations.html">format(<i><bug_drug_combinations></i>)</a></code> </p>
|
||
</td>
|
||
<td><p>Determine Bug-Drug Combinations</p></td>
|
||
</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">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">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">tetracyclines()</a></code> </p>
|
||
</td>
|
||
<td><p>Antibiotic Class Selectors</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="filter_ab_class.html">filter_ab_class()</a></code> <code><a href="filter_ab_class.html">filter_aminoglycosides()</a></code> <code><a href="filter_ab_class.html">filter_carbapenems()</a></code> <code><a href="filter_ab_class.html">filter_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_1st_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_2nd_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_3rd_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_4th_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_5th_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_fluoroquinolones()</a></code> <code><a href="filter_ab_class.html">filter_glycopeptides()</a></code> <code><a href="filter_ab_class.html">filter_macrolides()</a></code> <code><a href="filter_ab_class.html">filter_oxazolidinones()</a></code> <code><a href="filter_ab_class.html">filter_penicillins()</a></code> <code><a href="filter_ab_class.html">filter_tetracyclines()</a></code> </p>
|
||
</td>
|
||
<td><p>Filter Isolates on Result in Antimicrobial Class</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="resistance_predict.html">resistance_predict()</a></code> <code><a href="resistance_predict.html">rsi_predict()</a></code> <code><a href="resistance_predict.html">plot(<i><resistance_predict></i>)</a></code> <code><a href="resistance_predict.html">ggplot_rsi_predict()</a></code> </p>
|
||
</td>
|
||
<td><p>Predict antimicrobial resistance</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="guess_ab_col.html">guess_ab_col()</a></code> </p>
|
||
</td>
|
||
<td><p>Guess Antibiotic Column</p></td>
|
||
</tr>
|
||
</tbody><tbody>
|
||
<tr>
|
||
<th colspan="2">
|
||
<h2 id="section-other-miscellaneous-functions" class="hasAnchor"><a href="#section-other-miscellaneous-functions" class="anchor"></a>Other: miscellaneous functions</h2>
|
||
<p class="section-desc"><p>These functions are mostly for internal use, but some of them may also be suitable for your analysis. Especially the ‘like’ function can be useful: <code>if (x %like% y) {...}</code>.</p></p>
|
||
</th>
|
||
</tr>
|
||
|
||
|
||
</tbody><tbody>
|
||
|
||
|
||
<tr>
|
||
|
||
<td>
|
||
<p><code><a href="age_groups.html">age_groups()</a></code> </p>
|
||
</td>
|
||
<td><p>Split Ages into Age Groups</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="age.html">age()</a></code> </p>
|
||
</td>
|
||
<td><p>Age in Years of Individuals</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="availability.html">availability()</a></code> </p>
|
||
</td>
|
||
<td><p>Check Availability of Columns</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="translate.html">get_locale()</a></code> </p>
|
||
</td>
|
||
<td><p>Translate Strings from AMR Package</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="ggplot_pca.html">ggplot_pca()</a></code> </p>
|
||
</td>
|
||
<td><p>PCA Biplot with <code>ggplot2</code></p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="join.html">inner_join_microorganisms()</a></code> <code><a href="join.html">left_join_microorganisms()</a></code> <code><a href="join.html">right_join_microorganisms()</a></code> <code><a href="join.html">full_join_microorganisms()</a></code> <code><a href="join.html">semi_join_microorganisms()</a></code> <code><a href="join.html">anti_join_microorganisms()</a></code> </p>
|
||
</td>
|
||
<td><p>Join microorganisms to a Data Set</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="like.html">like()</a></code> <code><a href="like.html">`%like%`</a></code> <code><a href="like.html">`%unlike%`</a></code> <code><a href="like.html">`%like_case%`</a></code> <code><a href="like.html">`%unlike_case%`</a></code> </p>
|
||
</td>
|
||
<td><p>Vectorised Pattern Matching with Keyboard Shortcut</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="mo_matching_score.html">mo_matching_score()</a></code> </p>
|
||
</td>
|
||
<td><p>Calculate the Matching Score for Microorganisms</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="pca.html">pca()</a></code> </p>
|
||
</td>
|
||
<td><p>Principal Component Analysis (for AMR)</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="random.html">random_mic()</a></code> <code><a href="random.html">random_disk()</a></code> <code><a href="random.html">random_rsi()</a></code> </p>
|
||
</td>
|
||
<td><p>Random MIC Values/Disk Zones/RSI Generation</p></td>
|
||
</tr>
|
||
</tbody><tbody>
|
||
<tr>
|
||
<th colspan="2">
|
||
<h2 id="section-other-statistical-tests" class="hasAnchor"><a href="#section-other-statistical-tests" class="anchor"></a>Other: statistical tests</h2>
|
||
<p class="section-desc"><p>Some statistical tests or methods are not part of base R and were added to this package for convenience.</p></p>
|
||
</th>
|
||
</tr>
|
||
|
||
|
||
</tbody><tbody>
|
||
|
||
|
||
<tr>
|
||
|
||
<td>
|
||
<p><code><a href="g.test.html">g.test()</a></code> </p>
|
||
</td>
|
||
<td><p><em>G</em>-test for Count Data</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="kurtosis.html">kurtosis()</a></code> </p>
|
||
</td>
|
||
<td><p>Kurtosis of the Sample</p></td>
|
||
</tr><tr>
|
||
|
||
<td>
|
||
<p><code><a href="skewness.html">skewness()</a></code> </p>
|
||
</td>
|
||
<td><p>Skewness of the Sample</p></td>
|
||
</tr>
|
||
</tbody><tbody>
|
||
<tr>
|
||
<th colspan="2">
|
||
<h2 id="section-other-deprecated-functions" class="hasAnchor"><a href="#section-other-deprecated-functions" class="anchor"></a>Other: deprecated functions</h2>
|
||
<p class="section-desc"><p>These functions are deprecated, meaning that they will still work but show a warning with every use and will be removed in a future version.</p></p>
|
||
</th>
|
||
</tr>
|
||
|
||
|
||
</tbody><tbody>
|
||
|
||
|
||
<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> </p>
|
||
</td>
|
||
<td><p>Deprecated Functions</p></td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
|
||
<nav id="toc" data-toggle="toc" class="sticky-top">
|
||
<h2 data-toc-skip>Contents</h2>
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
<footer>
|
||
<div class="copyright">
|
||
<p>Developed by <a href='https://www.rug.nl/staff/m.s.berends/'>Matthijs S. Berends</a>, <a href='https://www.rug.nl/staff/c.f.luz/'>Christian F. Luz</a>, <a href='https://www.rug.nl/staff/a.w.friedrich/'>Alexander W. Friedrich</a>, <a href='https://www.rug.nl/staff/b.sinha/'>Bhanu N. M. Sinha</a>, <a href='https://www.rug.nl/staff/c.j.albers/'>Casper J. Albers</a>, <a href='https://www.rug.nl/staff/c.glasner/'>Corinna Glasner</a>.</p>
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<div class="pkgdown">
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