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<p>This example data set has the exact same structure as an export file from WHONET. Such files can be used with this package, as this example data set shows. The antibiotic results are from our <ahref="example_isolates.html">example_isolates</a> data set. All patient names are created using online surname generators and are only in place for practice purposes.</p>
<p>A <ahref="https://tibble.tidyverse.org/reference/tibble.html"class="external-link">tibble</a> with 500 observations and 53 variables:</p><ul><li><p><code>Identification number</code><br> ID of the sample</p></li>
<li><p><code>Specimen number</code><br> ID of the specimen</p></li>
<li><p><code>Organism</code><br> Name of the microorganism. Before analysis, you should transform this to a valid microbial class, using <code><ahref="as.mo.html">as.mo()</a></code>.</p></li>
<li><p><code>Country</code><br> Country of origin</p></li>
<li><p><code>Laboratory</code><br> Name of laboratory</p></li>
<li><p><code>Last name</code><br> Fictitious last name of patient</p></li>
<li><p><code>First name</code><br> Fictitious initial of patient</p></li>
<li><p><code>Sex</code><br> Fictitious gender of patient</p></li>
<li><p><code>Age</code><br> Fictitious age of patient</p></li>
<li><p><code>Age category</code><br> Age group, can also be looked up using <code><ahref="age_groups.html">age_groups()</a></code></p></li>
<li><p><code>Date of admission</code><br><ahref="https://rdrr.io/r/base/Dates.html"class="external-link">Date</a> of hospital admission</p></li>
<li><p><code>Specimen date</code><br><ahref="https://rdrr.io/r/base/Dates.html"class="external-link">Date</a> when specimen was received at laboratory</p></li>
<li><p><code>Specimen type</code><br> Specimen type or group</p></li>
<li><p><code>Specimen type (Numeric)</code><br> Translation of <code>"Specimen type"</code></p></li>
<li><p><code>Reason</code><br> Reason of request with Differential Diagnosis</p></li>
<li><p><code>Isolate number</code><br> ID of isolate</p></li>
<li><p><code>Organism type</code><br> Type of microorganism, can also be looked up using <code><ahref="mo_property.html">mo_type()</a></code></p></li>
<li><p><code>Serotype</code><br> Serotype of microorganism</p></li>
<li><p><code>MRSA screening test</code><br> Microorganism is possible MRSA?</p></li>
<li><p><code>Inducible clindamycin resistance</code><br> Clindamycin can be induced?</p></li>
<li><p><code>Comment</code><br> Other comments</p></li>
<li><p><code>Date of data entry</code><br><ahref="https://rdrr.io/r/base/Dates.html"class="external-link">Date</a> this data was entered in WHONET</p></li>
<li><p><code>AMP_ND10:CIP_EE</code><br> 28 different antibiotics. You can lookup the abbreviations in the <ahref="antibiotics.html">antibiotics</a> data set, or use e.g. <code><ahref="ab_property.html">ab_name("AMP")</a></code> to get the official name immediately. Before analysis, you should transform this to a valid antibiotic class, using <code><ahref="as.rsi.html">as.rsi()</a></code>.</p></li>
<p>Like all data sets in this package, this data set is publicly available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. Please visit <ahref="https://msberends.github.io/AMR/articles/datasets.html">our website for the download links</a>. The actual files are of course available on <ahref="https://github.com/msberends/AMR/tree/main/data-raw"class="external-link">our GitHub repository</a>.</p>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 1</span> fe41d7ba… <spanstyle="text-decoration: underline;">1</span>748 SPN Belgium Nation… Abel B. F 68 55-74 </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 2</span> 91f175ec… <spanstyle="text-decoration: underline;">1</span>767 eco The Ne… Nation… Delacr… F. M 89 75+ </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 3</span> cc401505… <spanstyle="text-decoration: underline;">1</span>343 eco The Ne… Nation… Steens… F. M 85 75+ </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 4</span> e864b692… <spanstyle="text-decoration: underline;">1</span>894 MAP Denmark Nation… Beyers… L. M 62 55-74 </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 5</span> 3d051fe3… <spanstyle="text-decoration: underline;">1</span>739 PVU Belgium Nation… Hummel W. M 86 75+ </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 6</span> c80762a0… <spanstyle="text-decoration: underline;">1</span>846 103 The Ne… Nation… Eikenb… J. F 53 25-54 </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 7</span> 8022d372… <spanstyle="text-decoration: underline;">1</span>628 103 Denmark Nation… Leclerc S. F 77 75+ </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 8</span> f3dc5f55… <spanstyle="text-decoration: underline;">1</span>493 eco The Ne… Nation… Delacr… W. M 53 25-54 </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;"> 9</span> 15add38f… <spanstyle="text-decoration: underline;">1</span>847 eco France Nation… Van La… S. F 63 55-74 </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #BCBCBC;">10</span> fd41248d… <spanstyle="text-decoration: underline;">1</span>458 eco Germany Nation… Moulin O. F 75 75+ </span>
<spanclass="r-out co"><spanclass="r-pr">#></span><spanstyle="color: #949494;"># … with 490 more rows, 43 more variables: `Date of admission` <date>,</span></span>
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<p></p><p><code>AMR</code> (for R). Developed at the <atarget="_blank"href="https://www.rug.nl"class="external-link">University of Groningen</a> in collaboration with non-profit organisations<br><atarget="_blank"href="https://www.certe.nl"class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <atarget="_blank"href="https://www.umcg.nl"class="external-link">University Medical Center Groningen</a>.</p>
