From 9ac5a34b3685585d5cd6add1cb01b13e765381ed Mon Sep 17 00:00:00 2001
From: "Matthijs S. Berends" <berendsms@gmail.com>
Date: Tue, 16 Jul 2019 16:14:11 +0200
Subject: [PATCH 1/4] (v0.7.1.9014) MO codes update

---
 DESCRIPTION                   |   4 +-
 NEWS.md                       |   2 +-
 R/sysdata.rda                 | Bin 7414 -> 7421 bytes
 data/microorganisms.codes.rda | Bin 26437 -> 26438 bytes
 docs/LICENSE-text.html        |   2 +-
 docs/articles/index.html      |   2 +-
 docs/authors.html             |   2 +-
 docs/index.html               |  16 +-
 docs/news/index.html          | 392 +++++++++++++++++-----------------
 docs/pkgdown.yml              |   2 +-
 docs/reference/index.html     |   2 +-
 git_premaster.sh              |   1 +
 12 files changed, 213 insertions(+), 212 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 4a7f261c..b1347770 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: AMR
-Version: 0.7.1.9013
-Date: 2019-07-11
+Version: 0.7.1.9014
+Date: 2019-07-16
 Title: Antimicrobial Resistance Analysis
 Authors@R: c(
     person(
diff --git a/NEWS.md b/NEWS.md
index b9314012..dc924db4 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 0.7.1.9013
+# AMR 0.7.1.9014
 
 ### New
 * Additional way to calculate co-resistance, i.e. when using multiple antibiotics as input for `portion_*` functions or `count_*` functions. This can be used to determine the empiric susceptibily of a combination therapy. A new parameter `only_all_tested` (**which defaults to `FALSE`**) replaces the old `also_single_tested` and can be used to select one of the two methods to count isolates and calculate portions. The difference can be seen in this example table (which is also on the `portion` and `count` help pages), where the %SI is being determined:
diff --git a/R/sysdata.rda b/R/sysdata.rda
index 43047d60c17405c15d16c6771a12754466287ac2..096a3d9b2034396892514e48242e674433821231 100644
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diff --git a/data/microorganisms.codes.rda b/data/microorganisms.codes.rda
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diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index 4ae125f0..bcc8c1b6 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9013</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
       </span>
     </div>
 
diff --git a/docs/articles/index.html b/docs/articles/index.html
index edb8aba6..d641e7b2 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9013</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
       </span>
     </div>
 
diff --git a/docs/authors.html b/docs/authors.html
index a8501621..9efd958e 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9013</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
       </span>
     </div>
 
diff --git a/docs/index.html b/docs/index.html
index 8f5e99f0..0fd4ae62 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -42,7 +42,7 @@
       </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">0.7.1.9013</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
       </span>
     </div>
 
@@ -190,9 +190,9 @@
       
       </header><div class="row">
   <div class="contents col-md-9">
-<div id="amr-for-r-" class="section level1">
+<div id="amr-for-r" class="section level1">
 <div class="page-header"><h1 class="hasAnchor">
-<a href="#amr-for-r-" class="anchor"></a><code>AMR</code> (for R) <img src="./logo.png" align="right" height="120px">
+<a href="#amr-for-r" class="anchor"></a><code>AMR</code> (for R) <img src="./logo.png" align="right" height="120px">
 </h1></div>
 <p><em>(<help title="Too Long, Didn't Read">TLDR</help> - to find out how to conduct AMR analysis, please <a href="./articles/AMR.html">continue reading here to get started</a>.</em></p>
 <hr>
@@ -248,7 +248,7 @@
 <h4 class="hasAnchor">
 <a href="#latest-released-version" class="anchor"></a>Latest released version</h4>
 <p>This package is available <a href="https://cran.r-project.org/package=AMR">on the official R network (CRAN)</a>, which has a peer-reviewed submission process. Install this package in R with:</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"AMR"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"AMR"</span>)</a></code></pre></div>
 <p>It will be downloaded and installed automatically. For RStudio, click on the menu <em>Tools</em> &gt; <em>Install Packages…</em> and then type in “AMR” and press <kbd>Install</kbd>.</p>
 <p><strong>Note:</strong> Not all functions on this website may be available in this latest release. To use all functions and data sets mentioned on this website, install the latest development version.</p>
 </div>
@@ -256,8 +256,8 @@
 <h4 class="hasAnchor">
 <a href="#latest-development-version" class="anchor"></a>Latest development version</h4>
 <p>The latest and unpublished development version can be installed with (<strong>precaution: may be unstable</strong>):</p>
-<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"devtools"</span>)</a>
-<a class="sourceLine" id="cb2-2" title="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_gitlab</a></span>(<span class="st">"msberends/AMR"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"devtools"</span>)</a>
+<a class="sourceLine" id="cb2-2" data-line-number="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_gitlab</a></span>(<span class="st">"msberends/AMR"</span>)</a></code></pre></div>
 </div>
 </div>
 <div id="get-started" class="section level2">
@@ -299,9 +299,9 @@
 <p><strong>NOTE: The WHOCC copyright does not allow use for commercial purposes, unlike any other info from this package. See \url{<a href="https://www.whocc.no/copyright_disclaimer/" class="uri">https://www.whocc.no/copyright_disclaimer/</a>}.</strong></p>
 <p>Read more about the data from WHOCC <a href="./reference/WHOCC.html">in our manual</a>.</p>
 </div>
-<div id="whonet--ears-net" class="section level4">
+<div id="whonet-ears-net" class="section level4">
 <h4 class="hasAnchor">
-<a href="#whonet--ears-net" class="anchor"></a>WHONET / EARS-Net</h4>
+<a href="#whonet-ears-net" class="anchor"></a>WHONET / EARS-Net</h4>
 <p><img src="./whonet.png"></p>
 <p>We support WHONET and EARS-Net data. Exported files from WHONET can be imported into R and can be analysed easily using this package. For education purposes, we created an <a href="./reference/WHONET.html">example data set <code>WHONET</code></a> with the exact same structure as a WHONET export file. Furthermore, this package also contains a <a href="./reference/antibiotics.html">data set <code>antibiotics</code></a> with all EARS-Net antibiotic abbreviations, and knows almost all WHONET abbreviations for microorganisms. When using WHONET data as input for analysis, all input parameters will be set automatically.</p>
 <p>Read our tutorial about <a href="./articles/WHONET.html">how to work with WHONET data here</a>.</p>
diff --git a/docs/news/index.html b/docs/news/index.html
index 4b67cc1c..f7115623 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9013</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
       </span>
     </div>
 
@@ -232,9 +232,9 @@
       
     </div>
 
-    <div id="amr-0719013" class="section level1">
+    <div id="amr-0-7-1-9014" class="section level1">
 <h1 class="page-header">
-<a href="#amr-0719013" class="anchor"></a>AMR 0.7.1.9013<small> Unreleased </small>
+<a href="#amr-0-7-1-9014" class="anchor"></a>AMR 0.7.1.9014<small> Unreleased </small>
 </h1>
 <div id="new" class="section level3">
 <h3 class="hasAnchor">
@@ -242,29 +242,29 @@
 <ul>
 <li>
 <p>Additional way to calculate co-resistance, i.e. when using multiple antibiotics as input for <code>portion_*</code> functions or <code>count_*</code> functions. This can be used to determine the empiric susceptibily of a combination therapy. A new parameter <code>only_all_tested</code> (<strong>which defaults to <code>FALSE</code></strong>) replaces the old <code>also_single_tested</code> and can be used to select one of the two methods to count isolates and calculate portions. The difference can be seen in this example table (which is also on the <code>portion</code> and <code>count</code> help pages), where the %SI is being determined:</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="co"># -------------------------------------------------------------------------</span></a>
-<a class="sourceLine" id="cb1-2" title="2"><span class="co">#                         only_all_tested = FALSE   only_all_tested = TRUE</span></a>
-<a class="sourceLine" id="cb1-3" title="3"><span class="co"># Antibiotic  Antibiotic  -----------------------   -----------------------</span></a>
-<a class="sourceLine" id="cb1-4" title="4"><span class="co">#     A           B       include as  include as    include as  include as</span></a>
-<a class="sourceLine" id="cb1-5" title="5"><span class="co">#                         numerator   denominator   numerator   denominator</span></a>
-<a class="sourceLine" id="cb1-6" title="6"><span class="co"># ----------  ----------  ----------  -----------   ----------  -----------</span></a>
-<a class="sourceLine" id="cb1-7" title="7"><span class="co">#     S           S           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-8" title="8"><span class="co">#     I           S           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-9" title="9"><span class="co">#     R           S           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-10" title="10"><span class="co"># not tested      S           X            X             -            -</span></a>
-<a class="sourceLine" id="cb1-11" title="11"><span class="co">#     S           I           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-12" title="12"><span class="co">#     I           I           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-13" title="13"><span class="co">#     R           I           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-14" title="14"><span class="co"># not tested      I           X            X             -            -</span></a>
-<a class="sourceLine" id="cb1-15" title="15"><span class="co">#     S           R           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-16" title="16"><span class="co">#     I           R           X            X             X            X</span></a>
-<a class="sourceLine" id="cb1-17" title="17"><span class="co">#     R           R           -            X             -            X</span></a>
-<a class="sourceLine" id="cb1-18" title="18"><span class="co"># not tested      R           -            -             -            -</span></a>
-<a class="sourceLine" id="cb1-19" title="19"><span class="co">#     S       not tested      X            X             -            -</span></a>
-<a class="sourceLine" id="cb1-20" title="20"><span class="co">#     I       not tested      X            X             -            -</span></a>
-<a class="sourceLine" id="cb1-21" title="21"><span class="co">#     R       not tested      -            -             -            -</span></a>
-<a class="sourceLine" id="cb1-22" title="22"><span class="co"># not tested  not tested      -            -             -            -</span></a>
-<a class="sourceLine" id="cb1-23" title="23"><span class="co"># -------------------------------------------------------------------------</span></a></code></pre></div>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="co"># -------------------------------------------------------------------------</span></a>
+<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="co">#                         only_all_tested = FALSE   only_all_tested = TRUE</span></a>
+<a class="sourceLine" id="cb1-3" data-line-number="3"><span class="co"># Antibiotic  Antibiotic  -----------------------   -----------------------</span></a>
+<a class="sourceLine" id="cb1-4" data-line-number="4"><span class="co">#     A           B       include as  include as    include as  include as</span></a>
+<a class="sourceLine" id="cb1-5" data-line-number="5"><span class="co">#                         numerator   denominator   numerator   denominator</span></a>
+<a class="sourceLine" id="cb1-6" data-line-number="6"><span class="co"># ----------  ----------  ----------  -----------   ----------  -----------</span></a>
+<a class="sourceLine" id="cb1-7" data-line-number="7"><span class="co">#     S           S           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-8" data-line-number="8"><span class="co">#     I           S           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-9" data-line-number="9"><span class="co">#     R           S           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-10" data-line-number="10"><span class="co"># not tested      S           X            X             -            -</span></a>
+<a class="sourceLine" id="cb1-11" data-line-number="11"><span class="co">#     S           I           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-12" data-line-number="12"><span class="co">#     I           I           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-13" data-line-number="13"><span class="co">#     R           I           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-14" data-line-number="14"><span class="co"># not tested      I           X            X             -            -</span></a>
+<a class="sourceLine" id="cb1-15" data-line-number="15"><span class="co">#     S           R           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-16" data-line-number="16"><span class="co">#     I           R           X            X             X            X</span></a>
+<a class="sourceLine" id="cb1-17" data-line-number="17"><span class="co">#     R           R           -            X             -            X</span></a>
+<a class="sourceLine" id="cb1-18" data-line-number="18"><span class="co"># not tested      R           -            -             -            -</span></a>
+<a class="sourceLine" id="cb1-19" data-line-number="19"><span class="co">#     S       not tested      X            X             -            -</span></a>
+<a class="sourceLine" id="cb1-20" data-line-number="20"><span class="co">#     I       not tested      X            X             -            -</span></a>
+<a class="sourceLine" id="cb1-21" data-line-number="21"><span class="co">#     R       not tested      -            -             -            -</span></a>
+<a class="sourceLine" id="cb1-22" data-line-number="22"><span class="co"># not tested  not tested      -            -             -            -</span></a>
+<a class="sourceLine" id="cb1-23" data-line-number="23"><span class="co"># -------------------------------------------------------------------------</span></a></code></pre></div>
 <p>Since this is a major change, usage of the old <code>also_single_tested</code> will throw an informative error that it has been replaced by <code>only_all_tested</code>.</p>
 </li>
 </ul>
@@ -289,9 +289,9 @@
 </ul>
 </div>
 </div>
-    <div id="amr-071" class="section level1">
+    <div id="amr-0-7-1" class="section level1">
 <h1 class="page-header">
-<a href="#amr-071" class="anchor"></a>AMR 0.7.1<small> 2019-06-23 </small>
+<a href="#amr-0-7-1" class="anchor"></a>AMR 0.7.1<small> 2019-06-23 </small>
 </h1>
 <div id="new-1" class="section level4">
 <h4 class="hasAnchor">
@@ -299,14 +299,14 @@
 <ul>
 <li>
 <p>Function <code><a href="../reference/portion.html">rsi_df()</a></code> to transform a <code>data.frame</code> to a data set containing only the microbial interpretation (S, I, R), the antibiotic, the percentage of S/I/R and the number of available isolates. This is a convenient combination of the existing functions <code><a href="../reference/count.html">count_df()</a></code> and <code><a href="../reference/portion.html">portion_df()</a></code> to immediately show resistance percentages and number of available isolates:</p>
-<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb2-2" title="2"><span class="st">  </span><span class="kw">select</span>(AMX, CIP) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb2-3" title="3"><span class="st">  </span><span class="kw"><a href="../reference/portion.html">rsi_df</a></span>()</a>
-<a class="sourceLine" id="cb2-4" title="4"><span class="co">#      antibiotic  interpretation      value  isolates</span></a>
-<a class="sourceLine" id="cb2-5" title="5"><span class="co"># 1   Amoxicillin              SI  0.4442636       546</span></a>
-<a class="sourceLine" id="cb2-6" title="6"><span class="co"># 2   Amoxicillin               R  0.5557364       683</span></a>
-<a class="sourceLine" id="cb2-7" title="7"><span class="co"># 3 Ciprofloxacin              SI  0.8381831      1181</span></a>
-<a class="sourceLine" id="cb2-8" title="8"><span class="co"># 4 Ciprofloxacin               R  0.1618169       228</span></a></code></pre></div>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb2-2" data-line-number="2"><span class="st">  </span><span class="kw">select</span>(AMX, CIP) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="../reference/portion.html">rsi_df</a></span>()</a>
+<a class="sourceLine" id="cb2-4" data-line-number="4"><span class="co">#      antibiotic  interpretation      value  isolates</span></a>
+<a class="sourceLine" id="cb2-5" data-line-number="5"><span class="co"># 1   Amoxicillin              SI  0.4442636       546</span></a>
+<a class="sourceLine" id="cb2-6" data-line-number="6"><span class="co"># 2   Amoxicillin               R  0.5557364       683</span></a>
+<a class="sourceLine" id="cb2-7" data-line-number="7"><span class="co"># 3 Ciprofloxacin              SI  0.8381831      1181</span></a>
+<a class="sourceLine" id="cb2-8" data-line-number="8"><span class="co"># 4 Ciprofloxacin               R  0.1618169       228</span></a></code></pre></div>
 </li>
 <li>
 <p>Support for all scientifically published pathotypes of <em>E. coli</em> to date (that we could find). Supported are:</p>
@@ -324,12 +324,12 @@
 <li>UPEC (Uropathogenic <em>E. coli</em>)</li>
 </ul>
 <p>All these lead to the microbial ID of <em>E. coli</em>:</p>
-<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" title="1"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"UPEC"</span>)</a>
-<a class="sourceLine" id="cb3-2" title="2"><span class="co"># B_ESCHR_COL</span></a>
-<a class="sourceLine" id="cb3-3" title="3"><span class="kw"><a href="../reference/mo_property.html">mo_name</a></span>(<span class="st">"UPEC"</span>)</a>
-<a class="sourceLine" id="cb3-4" title="4"><span class="co"># "Escherichia coli"</span></a>
-<a class="sourceLine" id="cb3-5" title="5"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"EHEC"</span>)</a>
-<a class="sourceLine" id="cb3-6" title="6"><span class="co"># "Gram-negative"</span></a></code></pre></div>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"UPEC"</span>)</a>
+<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="co"># B_ESCHR_COL</span></a>
+<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="kw"><a href="../reference/mo_property.html">mo_name</a></span>(<span class="st">"UPEC"</span>)</a>
+<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="co"># "Escherichia coli"</span></a>
+<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"EHEC"</span>)</a>
+<a class="sourceLine" id="cb3-6" data-line-number="6"><span class="co"># "Gram-negative"</span></a></code></pre></div>
 </li>
 <li>Function <code><a href="../reference/mo_property.html">mo_info()</a></code> as an analogy to <code><a href="../reference/ab_property.html">ab_info()</a></code>. The <code><a href="../reference/mo_property.html">mo_info()</a></code> prints a list with the full taxonomy, authors, and the URL to the online database of a microorganism</li>
 <li><p>Function <code><a href="../reference/mo_property.html">mo_synonyms()</a></code> to get all previously accepted taxonomic names of a microorganism</p></li>
@@ -370,9 +370,9 @@
 </ul>
 </div>
 </div>
-    <div id="amr-070" class="section level1">
+    <div id="amr-0-7-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-070" class="anchor"></a>AMR 0.7.0<small> 2019-06-03 </small>
+<a href="#amr-0-7-0" class="anchor"></a>AMR 0.7.0<small> 2019-06-03 </small>
 </h1>
 <div id="new-2" class="section level4">
 <h4 class="hasAnchor">
@@ -428,14 +428,14 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=Tra
 <li>when all values are unique it now shows a message instead of a warning</li>
 <li>
 <p>support for boxplots:</p>
-<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb4-2" title="2"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb4-3" title="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a>
-<a class="sourceLine" id="cb4-4" title="4"><span class="co"># grouped boxplots:</span></a>
-<a class="sourceLine" id="cb4-5" title="5">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb4-6" title="6"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb4-7" title="7"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb4-8" title="8"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a></code></pre></div>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb4-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a>
+<a class="sourceLine" id="cb4-4" data-line-number="4"><span class="co"># grouped boxplots:</span></a>
+<a class="sourceLine" id="cb4-5" data-line-number="5">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb4-6" data-line-number="6"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb4-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb4-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a></code></pre></div>
 </li>
 </ul>
 </li>
@@ -467,9 +467,9 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=EUC
 </ul>
 </div>
 </div>
-    <div id="amr-061" class="section level1">
+    <div id="amr-0-6-1" class="section level1">
 <h1 class="page-header">
-<a href="#amr-061" class="anchor"></a>AMR 0.6.1<small> 2019-03-29 </small>
+<a href="#amr-0-6-1" class="anchor"></a>AMR 0.6.1<small> 2019-03-29 </small>
 </h1>
 <div id="changed-3" class="section level4">
 <h4 class="hasAnchor">
@@ -481,9 +481,9 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=EUC
 </ul>
 </div>
 </div>
-    <div id="amr-060" class="section level1">
+    <div id="amr-0-6-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-060" class="anchor"></a>AMR 0.6.0<small> 2019-03-27 </small>
+<a href="#amr-0-6-0" class="anchor"></a>AMR 0.6.0<small> 2019-03-27 </small>
 </h1>
 <p><strong>New website!</strong></p>
 <p>We’ve got a new website: <a href="https://msberends.gitlab.io/AMR/">https://msberends.gitlab.io/AMR</a> (built with the great <a href="https://pkgdown.r-lib.org/"><code>pkgdown</code></a>)</p>
@@ -506,7 +506,7 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=EUC
 <li>
 <p>The responsible author(s) and year of scientific publication</p>
 This data is updated annually - check the included version with the new function <code><a href="../reference/catalogue_of_life_version.html">catalogue_of_life_version()</a></code>.</li>
-<li>Due to this change, some <code>mo</code> codes changed (e.g. <em>Streptococcus</em> changed from <code>B_STRPTC</code> to <code>B_STRPT</code>). A translation table is used internally to support older microorganism IDs, so users will not notice this difference.</li>
+<li>Due to this change, some <code>mo</code> codes changed (e.g. <em>Streptococcus</em> changed from <code>B_STRPTC</code> to <code>B_STRPT</code>). A translation table is used internally to support older microorganism IDs, so users will not notice this difference.</li>
 <li>New function <code><a href="../reference/mo_property.html">mo_rank()</a></code> for the taxonomic rank (genus, species, infraspecies, etc.)</li>
 <li>New function <code><a href="../reference/mo_property.html">mo_url()</a></code> to get the direct URL of a species from the Catalogue of Life</li>
 </ul>
@@ -520,33 +520,33 @@ This data is updated annually - check the included version with the new function
 </li>
 <li>
 <p>New filters for antimicrobial classes. Use these functions to filter isolates on results in one of more antibiotics from a specific class:</p>
-<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1"><span class="kw"><a href="../reference/filter_ab_class.html">filter_aminoglycosides</a></span>()</a>
-<a class="sourceLine" id="cb5-2" title="2"><span class="kw"><a href="../reference/filter_ab_class.html">filter_carbapenems</a></span>()</a>
-<a class="sourceLine" id="cb5-3" title="3"><span class="kw"><a href="../reference/filter_ab_class.html">filter_cephalosporins</a></span>()</a>
-<a class="sourceLine" id="cb5-4" title="4"><span class="kw"><a href="../reference/filter_ab_class.html">filter_1st_cephalosporins</a></span>()</a>
-<a class="sourceLine" id="cb5-5" title="5"><span class="kw"><a href="../reference/filter_ab_class.html">filter_2nd_cephalosporins</a></span>()</a>
-<a class="sourceLine" id="cb5-6" title="6"><span class="kw"><a href="../reference/filter_ab_class.html">filter_3rd_cephalosporins</a></span>()</a>
-<a class="sourceLine" id="cb5-7" title="7"><span class="kw"><a href="../reference/filter_ab_class.html">filter_4th_cephalosporins</a></span>()</a>
-<a class="sourceLine" id="cb5-8" title="8"><span class="kw"><a href="../reference/filter_ab_class.html">filter_fluoroquinolones</a></span>()</a>
-<a class="sourceLine" id="cb5-9" title="9"><span class="kw"><a href="../reference/filter_ab_class.html">filter_glycopeptides</a></span>()</a>
-<a class="sourceLine" id="cb5-10" title="10"><span class="kw"><a href="../reference/filter_ab_class.html">filter_macrolides</a></span>()</a>
-<a class="sourceLine" id="cb5-11" title="11"><span class="kw"><a href="../reference/filter_ab_class.html">filter_tetracyclines</a></span>()</a></code></pre></div>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="kw"><a href="../reference/filter_ab_class.html">filter_aminoglycosides</a></span>()</a>
+<a class="sourceLine" id="cb5-2" data-line-number="2"><span class="kw"><a href="../reference/filter_ab_class.html">filter_carbapenems</a></span>()</a>
+<a class="sourceLine" id="cb5-3" data-line-number="3"><span class="kw"><a href="../reference/filter_ab_class.html">filter_cephalosporins</a></span>()</a>
+<a class="sourceLine" id="cb5-4" data-line-number="4"><span class="kw"><a href="../reference/filter_ab_class.html">filter_1st_cephalosporins</a></span>()</a>
+<a class="sourceLine" id="cb5-5" data-line-number="5"><span class="kw"><a href="../reference/filter_ab_class.html">filter_2nd_cephalosporins</a></span>()</a>
+<a class="sourceLine" id="cb5-6" data-line-number="6"><span class="kw"><a href="../reference/filter_ab_class.html">filter_3rd_cephalosporins</a></span>()</a>
+<a class="sourceLine" id="cb5-7" data-line-number="7"><span class="kw"><a href="../reference/filter_ab_class.html">filter_4th_cephalosporins</a></span>()</a>
+<a class="sourceLine" id="cb5-8" data-line-number="8"><span class="kw"><a href="../reference/filter_ab_class.html">filter_fluoroquinolones</a></span>()</a>
+<a class="sourceLine" id="cb5-9" data-line-number="9"><span class="kw"><a href="../reference/filter_ab_class.html">filter_glycopeptides</a></span>()</a>
+<a class="sourceLine" id="cb5-10" data-line-number="10"><span class="kw"><a href="../reference/filter_ab_class.html">filter_macrolides</a></span>()</a>
+<a class="sourceLine" id="cb5-11" data-line-number="11"><span class="kw"><a href="../reference/filter_ab_class.html">filter_tetracyclines</a></span>()</a></code></pre></div>
 <p>The <code>antibiotics</code> data set will be searched, after which the input data will be checked for column names with a value in any abbreviations, codes or official names found in the <code>antibiotics</code> data set. For example:</p>
-<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/filter_ab_class.html">filter_glycopeptides</a></span>(<span class="dt">result =</span> <span class="st">"R"</span>)</a>
-<a class="sourceLine" id="cb6-2" title="2"><span class="co"># Filtering on glycopeptide antibacterials: any of `vanc` or `teic` is R</span></a>
-<a class="sourceLine" id="cb6-3" title="3">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/filter_ab_class.html">filter_glycopeptides</a></span>(<span class="dt">result =</span> <span class="st">"R"</span>, <span class="dt">scope =</span> <span class="st">"all"</span>)</a>
-<a class="sourceLine" id="cb6-4" title="4"><span class="co"># Filtering on glycopeptide antibacterials: all of `vanc` and `teic` is R</span></a></code></pre></div>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/filter_ab_class.html">filter_glycopeptides</a></span>(<span class="dt">result =</span> <span class="st">"R"</span>)</a>
+<a class="sourceLine" id="cb6-2" data-line-number="2"><span class="co"># Filtering on glycopeptide antibacterials: any of `vanc` or `teic` is R</span></a>
+<a class="sourceLine" id="cb6-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/filter_ab_class.html">filter_glycopeptides</a></span>(<span class="dt">result =</span> <span class="st">"R"</span>, <span class="dt">scope =</span> <span class="st">"all"</span>)</a>
+<a class="sourceLine" id="cb6-4" data-line-number="4"><span class="co"># Filtering on glycopeptide antibacterials: all of `vanc` and `teic` is R</span></a></code></pre></div>
 </li>
 <li>
 <p>All <code>ab_*</code> functions are deprecated and replaced by <code>atc_*</code> functions:</p>
-<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1">ab_property -&gt;<span class="st"> </span><span class="kw">atc_property</span>()</a>
-<a class="sourceLine" id="cb7-2" title="2">ab_name -&gt;<span class="st"> </span><span class="kw">atc_name</span>()</a>
-<a class="sourceLine" id="cb7-3" title="3">ab_official -&gt;<span class="st"> </span><span class="kw">atc_official</span>()</a>
-<a class="sourceLine" id="cb7-4" title="4">ab_trivial_nl -&gt;<span class="st"> </span><span class="kw">atc_trivial_nl</span>()</a>
-<a class="sourceLine" id="cb7-5" title="5">ab_certe -&gt;<span class="st"> </span><span class="kw">atc_certe</span>()</a>
-<a class="sourceLine" id="cb7-6" title="6">ab_umcg -&gt;<span class="st"> </span><span class="kw">atc_umcg</span>()</a>
-<a class="sourceLine" id="cb7-7" title="7">ab_tradenames -&gt;<span class="st"> </span><span class="kw">atc_tradenames</span>()</a></code></pre></div>
-These functions use <code><a href="../reference/AMR-deprecated.html">as.atc()</a></code> internally. The old <code>atc_property</code> has been renamed <code><a href="../reference/atc_online.html">atc_online_property()</a></code>. This is done for two reasons: firstly, not all ATC codes are of antibiotics (ab) but can also be of antivirals or antifungals. Secondly, the input must have class <code>atc</code> or must be coerable to this class. Properties of these classes should start with the same class name, analogous to <code><a href="../reference/as.mo.html">as.mo()</a></code> and e.g. <code>mo_genus</code>.</li>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">ab_property -&gt;<span class="st"> </span><span class="kw">atc_property</span>()</a>
+<a class="sourceLine" id="cb7-2" data-line-number="2">ab_name -&gt;<span class="st"> </span><span class="kw">atc_name</span>()</a>
+<a class="sourceLine" id="cb7-3" data-line-number="3">ab_official -&gt;<span class="st"> </span><span class="kw">atc_official</span>()</a>
+<a class="sourceLine" id="cb7-4" data-line-number="4">ab_trivial_nl -&gt;<span class="st"> </span><span class="kw">atc_trivial_nl</span>()</a>
+<a class="sourceLine" id="cb7-5" data-line-number="5">ab_certe -&gt;<span class="st"> </span><span class="kw">atc_certe</span>()</a>
+<a class="sourceLine" id="cb7-6" data-line-number="6">ab_umcg -&gt;<span class="st"> </span><span class="kw">atc_umcg</span>()</a>
+<a class="sourceLine" id="cb7-7" data-line-number="7">ab_tradenames -&gt;<span class="st"> </span><span class="kw">atc_tradenames</span>()</a></code></pre></div>
+These functions use <code><a href="../reference/AMR-deprecated.html">as.atc()</a></code> internally. The old <code>atc_property</code> has been renamed <code><a href="../reference/atc_online.html">atc_online_property()</a></code>. This is done for two reasons: firstly, not all ATC codes are of antibiotics (ab) but can also be of antivirals or antifungals. Secondly, the input must have class <code>atc</code> or must be coerable to this class. Properties of these classes should start with the same class name, analogous to <code><a href="../reference/as.mo.html">as.mo()</a></code> and e.g. <code>mo_genus</code>.</li>
 <li>New functions <code><a href="../reference/mo_source.html">set_mo_source()</a></code> and <code><a href="../reference/mo_source.html">get_mo_source()</a></code> to use your own predefined MO codes as input for <code><a href="../reference/as.mo.html">as.mo()</a></code> and consequently all <code>mo_*</code> functions</li>
 <li>Support for the upcoming <a href="https://dplyr.tidyverse.org"><code>dplyr</code></a> version 0.8.0</li>
 <li>New function <code><a href="../reference/guess_ab_col.html">guess_ab_col()</a></code> to find an antibiotic column in a table</li>
@@ -557,20 +557,20 @@ These functions use <code><a href="../reference/AMR-deprecated.html">as.atc()</a
 <li>New function <code><a href="../reference/age_groups.html">age_groups()</a></code> to split ages into custom or predefined groups (like children or elderly). This allows for easier demographic antimicrobial resistance analysis per age group.</li>
 <li>
 <p>New function <code><a href="../reference/resistance_predict.html">ggplot_rsi_predict()</a></code> as well as the base R <code><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot()</a></code> function can now be used for resistance prediction calculated with <code><a href="../reference/resistance_predict.html">resistance_predict()</a></code>:</p>
-<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1">x &lt;-<span class="st"> </span><span class="kw"><a href="../reference/resistance_predict.html">resistance_predict</a></span>(septic_patients, <span class="dt">col_ab =</span> <span class="st">"amox"</span>)</a>
-<a class="sourceLine" id="cb8-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(x)</a>
-<a class="sourceLine" id="cb8-3" title="3"><span class="kw"><a href="../reference/resistance_predict.html">ggplot_rsi_predict</a></span>(x)</a></code></pre></div>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1">x &lt;-<span class="st"> </span><span class="kw"><a href="../reference/resistance_predict.html">resistance_predict</a></span>(septic_patients, <span class="dt">col_ab =</span> <span class="st">"amox"</span>)</a>
+<a class="sourceLine" id="cb8-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(x)</a>
+<a class="sourceLine" id="cb8-3" data-line-number="3"><span class="kw"><a href="../reference/resistance_predict.html">ggplot_rsi_predict</a></span>(x)</a></code></pre></div>
 </li>
 <li>
 <p>Functions <code><a href="../reference/first_isolate.html">filter_first_isolate()</a></code> and <code><a href="../reference/first_isolate.html">filter_first_weighted_isolate()</a></code> to shorten and fasten filtering on data sets with antimicrobial results, e.g.:</p>
-<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>(...)</a>
-<a class="sourceLine" id="cb9-2" title="2"><span class="co"># or</span></a>
-<a class="sourceLine" id="cb9-3" title="3"><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>(septic_patients, ...)</a></code></pre></div>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>(...)</a>
+<a class="sourceLine" id="cb9-2" data-line-number="2"><span class="co"># or</span></a>
+<a class="sourceLine" id="cb9-3" data-line-number="3"><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>(septic_patients, ...)</a></code></pre></div>
 <p>is equal to:</p>
-<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb10-2" title="2"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">only_firsts =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(septic_patients, ...)) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb10-3" title="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/stats/topics/filter">filter</a></span>(only_firsts <span class="op">==</span><span class="st"> </span><span class="ot">TRUE</span>) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb10-4" title="4"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>only_firsts)</a></code></pre></div>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb10-2" data-line-number="2"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">only_firsts =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(septic_patients, ...)) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb10-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/stats/topics/filter">filter</a></span>(only_firsts <span class="op">==</span><span class="st"> </span><span class="ot">TRUE</span>) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb10-4" data-line-number="4"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>only_firsts)</a></code></pre></div>
 </li>
 <li>New function <code><a href="../reference/availability.html">availability()</a></code> to check the number of available (non-empty) results in a <code>data.frame</code>
 </li>
@@ -599,33 +599,33 @@ These functions use <code><a href="../reference/AMR-deprecated.html">as.atc()</a
 <ul>
 <li>
 <p>Now handles incorrect spelling, like <code>i</code> instead of <code>y</code> and <code>f</code> instead of <code>ph</code>:</p>
-<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1"><span class="co"># mo_fullname() uses as.mo() internally</span></a>
-<a class="sourceLine" id="cb11-2" title="2"></a>
-<a class="sourceLine" id="cb11-3" title="3"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"Sthafilokockus aaureuz"</span>)</a>
-<a class="sourceLine" id="cb11-4" title="4"><span class="co">#&gt; [1] "Staphylococcus aureus"</span></a>
-<a class="sourceLine" id="cb11-5" title="5"></a>
-<a class="sourceLine" id="cb11-6" title="6"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"S. klossi"</span>)</a>
-<a class="sourceLine" id="cb11-7" title="7"><span class="co">#&gt; [1] "Staphylococcus kloosii"</span></a></code></pre></div>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="co"># mo_fullname() uses as.mo() internally</span></a>
+<a class="sourceLine" id="cb11-2" data-line-number="2"></a>
+<a class="sourceLine" id="cb11-3" data-line-number="3"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"Sthafilokockus aaureuz"</span>)</a>
+<a class="sourceLine" id="cb11-4" data-line-number="4"><span class="co">#&gt; [1] "Staphylococcus aureus"</span></a>
+<a class="sourceLine" id="cb11-5" data-line-number="5"></a>
+<a class="sourceLine" id="cb11-6" data-line-number="6"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"S. klossi"</span>)</a>
+<a class="sourceLine" id="cb11-7" data-line-number="7"><span class="co">#&gt; [1] "Staphylococcus kloosii"</span></a></code></pre></div>
 </li>
 <li>
 <p>Uncertainty of the algorithm is now divided into four levels, 0 to 3, where the default <code>allow_uncertain = TRUE</code> is equal to uncertainty level 2. Run <code><a href="../reference/as.mo.html">?as.mo</a></code> for more info about these levels.</p>
-<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" title="1"><span class="co"># equal:</span></a>
-<a class="sourceLine" id="cb12-2" title="2"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="ot">TRUE</span>)</a>
-<a class="sourceLine" id="cb12-3" title="3"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="dv">2</span>)</a>
-<a class="sourceLine" id="cb12-4" title="4"></a>
-<a class="sourceLine" id="cb12-5" title="5"><span class="co"># also equal:</span></a>
-<a class="sourceLine" id="cb12-6" title="6"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="ot">FALSE</span>)</a>
-<a class="sourceLine" id="cb12-7" title="7"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="dv">0</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1"><span class="co"># equal:</span></a>
+<a class="sourceLine" id="cb12-2" data-line-number="2"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="ot">TRUE</span>)</a>
+<a class="sourceLine" id="cb12-3" data-line-number="3"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="dv">2</span>)</a>
+<a class="sourceLine" id="cb12-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb12-5" data-line-number="5"><span class="co"># also equal:</span></a>
+<a class="sourceLine" id="cb12-6" data-line-number="6"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="ot">FALSE</span>)</a>
+<a class="sourceLine" id="cb12-7" data-line-number="7"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(..., <span class="dt">allow_uncertain =</span> <span class="dv">0</span>)</a></code></pre></div>
 Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a></code> could lead to very unreliable results.</li>
 <li>Implemented the latest publication of Becker <em>et al.</em> (2019), for categorising coagulase-negative <em>Staphylococci</em>
 </li>
 <li>All microbial IDs that found are now saved to a local file <code>~/.Rhistory_mo</code>. Use the new function <code>clean_mo_history()</code> to delete this file, which resets the algorithms.</li>
 <li>
 <p>Incoercible results will now be considered ‘unknown’, MO code <code>UNKNOWN</code>. On foreign systems, properties of these will be translated to all languages already previously supported: German, Dutch, French, Italian, Spanish and Portuguese:</p>
-<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" title="1"><span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(<span class="st">"qwerty"</span>, <span class="dt">language =</span> <span class="st">"es"</span>)</a>
-<a class="sourceLine" id="cb13-2" title="2"><span class="co"># Warning: </span></a>
-<a class="sourceLine" id="cb13-3" title="3"><span class="co"># one unique value (^= 100.0%) could not be coerced and is considered 'unknown': "qwerty". Use mo_failures() to review it.</span></a>
-<a class="sourceLine" id="cb13-4" title="4"><span class="co">#&gt; [1] "(género desconocido)"</span></a></code></pre></div>
+<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" data-line-number="1"><span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(<span class="st">"qwerty"</span>, <span class="dt">language =</span> <span class="st">"es"</span>)</a>
+<a class="sourceLine" id="cb13-2" data-line-number="2"><span class="co"># Warning: </span></a>
+<a class="sourceLine" id="cb13-3" data-line-number="3"><span class="co"># one unique value (^= 100.0%) could not be coerced and is considered 'unknown': "qwerty". Use mo_failures() to review it.</span></a>
+<a class="sourceLine" id="cb13-4" data-line-number="4"><span class="co">#&gt; [1] "(género desconocido)"</span></a></code></pre></div>
 </li>
 <li>Fix for vector containing only empty values</li>
 <li>Finds better results when input is in other languages</li>
@@ -671,19 +671,19 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <ul>
 <li>
 <p>Support for tidyverse quasiquotation! Now you can create frequency tables of function outcomes:</p>
-<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1"><span class="co"># Determine genus of microorganisms (mo) in `septic_patients` data set:</span></a>
-<a class="sourceLine" id="cb14-2" title="2"><span class="co"># OLD WAY</span></a>
-<a class="sourceLine" id="cb14-3" title="3">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb14-4" title="4"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo)) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb14-5" title="5"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(genus)</a>
-<a class="sourceLine" id="cb14-6" title="6"><span class="co"># NEW WAY</span></a>
-<a class="sourceLine" id="cb14-7" title="7">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb14-8" title="8"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a>
-<a class="sourceLine" id="cb14-9" title="9"></a>
-<a class="sourceLine" id="cb14-10" title="10"><span class="co"># Even supports grouping variables:</span></a>
-<a class="sourceLine" id="cb14-11" title="11">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb14-12" title="12"><span class="st">  </span><span class="kw">group_by</span>(gender) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb14-13" title="13"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a></code></pre></div>
+<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" data-line-number="1"><span class="co"># Determine genus of microorganisms (mo) in `septic_patients` data set:</span></a>
+<a class="sourceLine" id="cb14-2" data-line-number="2"><span class="co"># OLD WAY</span></a>
+<a class="sourceLine" id="cb14-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb14-4" data-line-number="4"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo)) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb14-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(genus)</a>
+<a class="sourceLine" id="cb14-6" data-line-number="6"><span class="co"># NEW WAY</span></a>
+<a class="sourceLine" id="cb14-7" data-line-number="7">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb14-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a>
+<a class="sourceLine" id="cb14-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb14-10" data-line-number="10"><span class="co"># Even supports grouping variables:</span></a>
+<a class="sourceLine" id="cb14-11" data-line-number="11">septic_patients <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb14-12" data-line-number="12"><span class="st">  </span><span class="kw">group_by</span>(gender) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb14-13" data-line-number="13"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a></code></pre></div>
 </li>
 <li>Header info is now available as a list, with the <code>header</code> function</li>
 <li>The parameter <code>header</code> is now set to <code>TRUE</code> at default, even for markdown</li>
@@ -714,9 +714,9 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </ul>
 </div>
 </div>
-    <div id="amr-050" class="section level1">
+    <div id="amr-0-5-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-050" class="anchor"></a>AMR 0.5.0<small> 2018-11-30 </small>
+<a href="#amr-0-5-0" class="anchor"></a>AMR 0.5.0<small> 2018-11-30 </small>
 </h1>
 <div id="new-4" class="section level4">
 <h4 class="hasAnchor">
@@ -758,10 +758,10 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>Fewer than 3 characters as input for <code>as.mo</code> will return NA</li>
 <li>
 <p>Function <code>as.mo</code> (and all <code>mo_*</code> wrappers) now supports genus abbreviations with “species” attached</p>
-<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" title="1"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"E. species"</span>)        <span class="co"># B_ESCHR</span></a>
-<a class="sourceLine" id="cb15-2" title="2"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"E. spp."</span>)     <span class="co"># "Escherichia species"</span></a>
-<a class="sourceLine" id="cb15-3" title="3"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"S. spp"</span>)            <span class="co"># B_STPHY</span></a>
-<a class="sourceLine" id="cb15-4" title="4"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"S. species"</span>)  <span class="co"># "Staphylococcus species"</span></a></code></pre></div>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" data-line-number="1"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"E. species"</span>)        <span class="co"># B_ESCHR</span></a>
+<a class="sourceLine" id="cb15-2" data-line-number="2"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"E. spp."</span>)     <span class="co"># "Escherichia species"</span></a>
+<a class="sourceLine" id="cb15-3" data-line-number="3"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"S. spp"</span>)            <span class="co"># B_STPHY</span></a>
+<a class="sourceLine" id="cb15-4" data-line-number="4"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"S. species"</span>)  <span class="co"># "Staphylococcus species"</span></a></code></pre></div>
 </li>
 <li>Added parameter <code>combine_IR</code> (TRUE/FALSE) to functions <code>portion_df</code> and <code>count_df</code>, to indicate that all values of I and R must be merged into one, so the output only consists of S vs. IR (susceptible vs. non-susceptible)</li>
 <li>Fix for <code>portion_*(..., as_percent = TRUE)</code> when minimal number of isolates would not be met</li>
@@ -774,17 +774,17 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <ul>
 <li>
 <p>Support for grouping variables, test with:</p>
-<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" title="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb16-2" title="2"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb16-3" title="3"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender)</a></code></pre></div>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb16-2" data-line-number="2"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb16-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender)</a></code></pre></div>
 </li>
 <li>
 <p>Support for (un)selecting columns:</p>
-<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" title="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb17-2" title="2"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb17-3" title="3"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>count, <span class="op">-</span>cum_count) <span class="co"># only get item, percent, cum_percent</span></a></code></pre></div>
+<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb17-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb17-3" data-line-number="3"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>count, <span class="op">-</span>cum_count) <span class="co"># only get item, percent, cum_percent</span></a></code></pre></div>
 </li>
-<li>Check for <code><a href="https://www.rdocumentation.org/packages/hms/topics/hms">hms::is.hms</a></code>
+<li>Check for <code><a href="https://www.rdocumentation.org/packages/hms/topics/Deprecated">hms::is.hms</a></code>
 </li>
 <li>Now prints in markdown at default in non-interactive sessions</li>
 <li>No longer adds the factor level column and sorts factors on count again</li>
@@ -841,9 +841,9 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </ul>
 </div>
 </div>
-    <div id="amr-040" class="section level1">
+    <div id="amr-0-4-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-040" class="anchor"></a>AMR 0.4.0<small> 2018-10-01 </small>
+<a href="#amr-0-4-0" class="anchor"></a>AMR 0.4.0<small> 2018-10-01 </small>
 </h1>
 <div id="new-5" class="section level4">
 <h4 class="hasAnchor">
@@ -862,18 +862,18 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 </ul>
 <p>They also come with support for German, Dutch, French, Italian, Spanish and Portuguese:</p>
-<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" title="1"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>)</a>
-<a class="sourceLine" id="cb18-2" title="2"><span class="co"># [1] "Gram negative"</span></a>
-<a class="sourceLine" id="cb18-3" title="3"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>, <span class="dt">language =</span> <span class="st">"de"</span>) <span class="co"># German</span></a>
-<a class="sourceLine" id="cb18-4" title="4"><span class="co"># [1] "Gramnegativ"</span></a>
-<a class="sourceLine" id="cb18-5" title="5"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>, <span class="dt">language =</span> <span class="st">"es"</span>) <span class="co"># Spanish</span></a>
-<a class="sourceLine" id="cb18-6" title="6"><span class="co"># [1] "Gram negativo"</span></a>
-<a class="sourceLine" id="cb18-7" title="7"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"S. group A"</span>, <span class="dt">language =</span> <span class="st">"pt"</span>) <span class="co"># Portuguese</span></a>
-<a class="sourceLine" id="cb18-8" title="8"><span class="co"># [1] "Streptococcus grupo A"</span></a></code></pre></div>
+<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" data-line-number="1"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>)</a>
+<a class="sourceLine" id="cb18-2" data-line-number="2"><span class="co"># [1] "Gram negative"</span></a>
+<a class="sourceLine" id="cb18-3" data-line-number="3"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>, <span class="dt">language =</span> <span class="st">"de"</span>) <span class="co"># German</span></a>
+<a class="sourceLine" id="cb18-4" data-line-number="4"><span class="co"># [1] "Gramnegativ"</span></a>
+<a class="sourceLine" id="cb18-5" data-line-number="5"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>, <span class="dt">language =</span> <span class="st">"es"</span>) <span class="co"># Spanish</span></a>
+<a class="sourceLine" id="cb18-6" data-line-number="6"><span class="co"># [1] "Gram negativo"</span></a>
+<a class="sourceLine" id="cb18-7" data-line-number="7"><span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"S. group A"</span>, <span class="dt">language =</span> <span class="st">"pt"</span>) <span class="co"># Portuguese</span></a>
+<a class="sourceLine" id="cb18-8" data-line-number="8"><span class="co"># [1] "Streptococcus grupo A"</span></a></code></pre></div>
 <p>Furthermore, former taxonomic names will give a note about the current taxonomic name:</p>
-<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"Esc blattae"</span>)</a>
-<a class="sourceLine" id="cb19-2" title="2"><span class="co"># Note: 'Escherichia blattae' (Burgess et al., 1973) was renamed 'Shimwellia blattae' (Priest and Barker, 2010)</span></a>
-<a class="sourceLine" id="cb19-3" title="3"><span class="co"># [1] "Gram negative"</span></a></code></pre></div>
+<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" data-line-number="1"><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"Esc blattae"</span>)</a>
+<a class="sourceLine" id="cb19-2" data-line-number="2"><span class="co"># Note: 'Escherichia blattae' (Burgess et al., 1973) was renamed 'Shimwellia blattae' (Priest and Barker, 2010)</span></a>
+<a class="sourceLine" id="cb19-3" data-line-number="3"><span class="co"># [1] "Gram negative"</span></a></code></pre></div>
 </li>
 <li>Functions <code>count_R</code>, <code>count_IR</code>, <code>count_I</code>, <code>count_SI</code> and <code>count_S</code> to selectively count resistant or susceptible isolates
 <ul>
@@ -884,18 +884,18 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 <li>
 <p>Functions <code>as.mo</code> and <code>is.mo</code> as replacements for <code>as.bactid</code> and <code>is.bactid</code> (since the <code>microoganisms</code> data set not only contains bacteria). These last two functions are deprecated and will be removed in a future release. The <code>as.mo</code> function determines microbial IDs using intelligent rules:</p>
-<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"E. coli"</span>)</a>
-<a class="sourceLine" id="cb20-2" title="2"><span class="co"># [1] B_ESCHR_COL</span></a>
-<a class="sourceLine" id="cb20-3" title="3"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"MRSA"</span>)</a>
-<a class="sourceLine" id="cb20-4" title="4"><span class="co"># [1] B_STPHY_AUR</span></a>
-<a class="sourceLine" id="cb20-5" title="5"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"S group A"</span>)</a>
-<a class="sourceLine" id="cb20-6" title="6"><span class="co"># [1] B_STRPTC_GRA</span></a></code></pre></div>
+<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" data-line-number="1"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"E. coli"</span>)</a>
+<a class="sourceLine" id="cb20-2" data-line-number="2"><span class="co"># [1] B_ESCHR_COL</span></a>
+<a class="sourceLine" id="cb20-3" data-line-number="3"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"MRSA"</span>)</a>
+<a class="sourceLine" id="cb20-4" data-line-number="4"><span class="co"># [1] B_STPHY_AUR</span></a>
+<a class="sourceLine" id="cb20-5" data-line-number="5"><span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"S group A"</span>)</a>
+<a class="sourceLine" id="cb20-6" data-line-number="6"><span class="co"># [1] B_STRPTC_GRA</span></a></code></pre></div>
 <p>And with great speed too - on a quite regular Linux server from 2007 it takes us less than 0.02 seconds to transform 25,000 items:</p>
-<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" title="1">thousands_of_E_colis &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/rep">rep</a></span>(<span class="st">"E. coli"</span>, <span class="dv">25000</span>)</a>
-<a class="sourceLine" id="cb21-2" title="2">microbenchmark<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(thousands_of_E_colis), <span class="dt">unit =</span> <span class="st">"s"</span>)</a>
-<a class="sourceLine" id="cb21-3" title="3"><span class="co"># Unit: seconds</span></a>
-<a class="sourceLine" id="cb21-4" title="4"><span class="co">#         min       median         max  neval</span></a>
-<a class="sourceLine" id="cb21-5" title="5"><span class="co">#  0.01817717  0.01843957  0.03878077    100</span></a></code></pre></div>
+<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" data-line-number="1">thousands_of_E_colis &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/rep">rep</a></span>(<span class="st">"E. coli"</span>, <span class="dv">25000</span>)</a>
+<a class="sourceLine" id="cb21-2" data-line-number="2">microbenchmark<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(thousands_of_E_colis), <span class="dt">unit =</span> <span class="st">"s"</span>)</a>
+<a class="sourceLine" id="cb21-3" data-line-number="3"><span class="co"># Unit: seconds</span></a>
+<a class="sourceLine" id="cb21-4" data-line-number="4"><span class="co">#         min       median         max  neval</span></a>
+<a class="sourceLine" id="cb21-5" data-line-number="5"><span class="co">#  0.01817717  0.01843957  0.03878077    100</span></a></code></pre></div>
 </li>
 <li>Added parameter <code>reference_df</code> for <code>as.mo</code>, so users can supply their own microbial IDs, name or codes as a reference table</li>
 <li>Renamed all previous references to <code>bactid</code> to <code>mo</code>, like:
@@ -923,12 +923,12 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>Added three antimicrobial agents to the <code>antibiotics</code> data set: Terbinafine (D01BA02), Rifaximin (A07AA11) and Isoconazole (D01AC05)</li>
 <li>
 <p>Added 163 trade names to the <code>antibiotics</code> data set, it now contains 298 different trade names in total, e.g.:</p>
-<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1"><span class="kw">ab_official</span>(<span class="st">"Bactroban"</span>)</a>
-<a class="sourceLine" id="cb22-2" title="2"><span class="co"># [1] "Mupirocin"</span></a>
-<a class="sourceLine" id="cb22-3" title="3"><span class="kw"><a href="../reference/ab_property.html">ab_name</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"Bactroban"</span>, <span class="st">"Amoxil"</span>, <span class="st">"Zithromax"</span>, <span class="st">"Floxapen"</span>))</a>
-<a class="sourceLine" id="cb22-4" title="4"><span class="co"># [1] "Mupirocin" "Amoxicillin" "Azithromycin" "Flucloxacillin"</span></a>
-<a class="sourceLine" id="cb22-5" title="5"><span class="kw"><a href="../reference/ab_property.html">ab_atc</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"Bactroban"</span>, <span class="st">"Amoxil"</span>, <span class="st">"Zithromax"</span>, <span class="st">"Floxapen"</span>))</a>
-<a class="sourceLine" id="cb22-6" title="6"><span class="co"># [1] "R01AX06" "J01CA04" "J01FA10" "J01CF05"</span></a></code></pre></div>
+<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" data-line-number="1"><span class="kw">ab_official</span>(<span class="st">"Bactroban"</span>)</a>
+<a class="sourceLine" id="cb22-2" data-line-number="2"><span class="co"># [1] "Mupirocin"</span></a>
+<a class="sourceLine" id="cb22-3" data-line-number="3"><span class="kw"><a href="../reference/ab_property.html">ab_name</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"Bactroban"</span>, <span class="st">"Amoxil"</span>, <span class="st">"Zithromax"</span>, <span class="st">"Floxapen"</span>))</a>
+<a class="sourceLine" id="cb22-4" data-line-number="4"><span class="co"># [1] "Mupirocin" "Amoxicillin" "Azithromycin" "Flucloxacillin"</span></a>
+<a class="sourceLine" id="cb22-5" data-line-number="5"><span class="kw"><a href="../reference/ab_property.html">ab_atc</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"Bactroban"</span>, <span class="st">"Amoxil"</span>, <span class="st">"Zithromax"</span>, <span class="st">"Floxapen"</span>))</a>
+<a class="sourceLine" id="cb22-6" data-line-number="6"><span class="co"># [1] "R01AX06" "J01CA04" "J01FA10" "J01CF05"</span></a></code></pre></div>
 </li>
 <li>For <code>first_isolate</code>, rows will be ignored when there’s no species available</li>
 <li>Function <code>ratio</code> is now deprecated and will be removed in a future release, as it is not really the scope of this package</li>
@@ -939,13 +939,13 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 <li>
 <p>Support for quasiquotation in the functions series <code>count_*</code> and <code>portions_*</code>, and <code>n_rsi</code>. This allows to check for more than 2 vectors or columns.</p>
-<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" title="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">select</span>(amox, cipr) <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>()</a>
-<a class="sourceLine" id="cb23-2" title="2"><span class="co"># which is the same as:</span></a>
-<a class="sourceLine" id="cb23-3" title="3">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>(amox, cipr)</a>
-<a class="sourceLine" id="cb23-4" title="4"></a>
-<a class="sourceLine" id="cb23-5" title="5">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_S</a></span>(amcl)</a>
-<a class="sourceLine" id="cb23-6" title="6">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_S</a></span>(amcl, gent)</a>
-<a class="sourceLine" id="cb23-7" title="7">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_S</a></span>(amcl, gent, pita)</a></code></pre></div>
+<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">select</span>(amox, cipr) <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>()</a>
+<a class="sourceLine" id="cb23-2" data-line-number="2"><span class="co"># which is the same as:</span></a>
+<a class="sourceLine" id="cb23-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>(amox, cipr)</a>
+<a class="sourceLine" id="cb23-4" data-line-number="4"></a>
+<a class="sourceLine" id="cb23-5" data-line-number="5">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_S</a></span>(amcl)</a>
+<a class="sourceLine" id="cb23-6" data-line-number="6">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_S</a></span>(amcl, gent)</a>
+<a class="sourceLine" id="cb23-7" data-line-number="7">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_S</a></span>(amcl, gent, pita)</a></code></pre></div>
 </li>
 <li>Edited <code>ggplot_rsi</code> and <code>geom_rsi</code> so they can cope with <code>count_df</code>. The new <code>fun</code> parameter has value <code>portion_df</code> at default, but can be set to <code>count_df</code>.</li>
 <li>Fix for <code>ggplot_rsi</code> when the <code>ggplot2</code> package was not loaded</li>
@@ -959,12 +959,12 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 <li>
 <p>Support for types (classes) list and matrix for <code>freq</code></p>
-<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1">my_matrix =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/with">with</a></span>(septic_patients, <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/matrix">matrix</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(age, gender), <span class="dt">ncol =</span> <span class="dv">2</span>))</a>
-<a class="sourceLine" id="cb24-2" title="2"><span class="kw"><a href="../reference/freq.html">freq</a></span>(my_matrix)</a></code></pre></div>
+<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" data-line-number="1">my_matrix =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/with">with</a></span>(septic_patients, <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/matrix">matrix</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(age, gender), <span class="dt">ncol =</span> <span class="dv">2</span>))</a>
+<a class="sourceLine" id="cb24-2" data-line-number="2"><span class="kw"><a href="../reference/freq.html">freq</a></span>(my_matrix)</a></code></pre></div>
 <p>For lists, subsetting is possible:</p>
-<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" title="1">my_list =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="dt">age =</span> septic_patients<span class="op">$</span>age, <span class="dt">gender =</span> septic_patients<span class="op">$</span>gender)</a>
-<a class="sourceLine" id="cb25-2" title="2">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age)</a>
-<a class="sourceLine" id="cb25-3" title="3">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender)</a></code></pre></div>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1">my_list =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="dt">age =</span> septic_patients<span class="op">$</span>age, <span class="dt">gender =</span> septic_patients<span class="op">$</span>gender)</a>
+<a class="sourceLine" id="cb25-2" data-line-number="2">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age)</a>
+<a class="sourceLine" id="cb25-3" data-line-number="3">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender)</a></code></pre></div>
 </li>
 </ul>
 </div>
@@ -976,9 +976,9 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </ul>
 </div>
 </div>
-    <div id="amr-030" class="section level1">
+    <div id="amr-0-3-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-030" class="anchor"></a>AMR 0.3.0<small> 2018-08-14 </small>
+<a href="#amr-0-3-0" class="anchor"></a>AMR 0.3.0<small> 2018-08-14 </small>
 </h1>
 <div id="new-6" class="section level4">
 <h4 class="hasAnchor">
@@ -1083,7 +1083,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 </ul>
 </li>
-<li>Now possible to coerce MIC values with a space between operator and value, i.e. <code><a href="../reference/as.mic.html">as.mic("&lt;= 0.002")</a></code> now works</li>
+<li>Now possible to coerce MIC values with a space between operator and value, i.e. <code><a href="../reference/as.mic.html">as.mic("&lt;= 0.002")</a></code> now works</li>
 <li>Classes <code>rsi</code> and <code>mic</code> do not add the attribute <code>package.version</code> anymore</li>
 <li>Added <code>"groups"</code> option for <code>atc_property(..., property)</code>. It will return a vector of the ATC hierarchy as defined by the <a href="https://www.whocc.no/atc/structure_and_principles/">WHO</a>. The new function <code>atc_groups</code> is a convenient wrapper around this.</li>
 <li>Build-in host check for <code>atc_property</code> as it requires the host set by <code>url</code> to be responsive</li>
@@ -1113,9 +1113,9 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </ul>
 </div>
 </div>
-    <div id="amr-020" class="section level1">
+    <div id="amr-0-2-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-020" class="anchor"></a>AMR 0.2.0<small> 2018-05-03 </small>
+<a href="#amr-0-2-0" class="anchor"></a>AMR 0.2.0<small> 2018-05-03 </small>
 </h1>
 <div id="new-7" class="section level4">
 <h4 class="hasAnchor">
@@ -1171,9 +1171,9 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </ul>
 </div>
 </div>
-    <div id="amr-011" class="section level1">
+    <div id="amr-0-1-1" class="section level1">
 <h1 class="page-header">
-<a href="#amr-011" class="anchor"></a>AMR 0.1.1<small> 2018-03-14 </small>
+<a href="#amr-0-1-1" class="anchor"></a>AMR 0.1.1<small> 2018-03-14 </small>
 </h1>
 <ul>
 <li>
@@ -1184,9 +1184,9 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>Added barplots for <code>rsi</code> and <code>mic</code> classes</li>
 </ul>
 </div>
-    <div id="amr-010" class="section level1">
+    <div id="amr-0-1-0" class="section level1">
 <h1 class="page-header">
-<a href="#amr-010" class="anchor"></a>AMR 0.1.0<small> 2018-02-22 </small>
+<a href="#amr-0-1-0" class="anchor"></a>AMR 0.1.0<small> 2018-02-22 </small>
 </h1>
 <ul>
 <li>First submission to CRAN.</li>
@@ -1198,17 +1198,17 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
     <div id="tocnav">
       <h2>Contents</h2>
       <ul class="nav nav-pills nav-stacked">
-        <li><a href="#amr-0719013">0.7.1.9013</a></li>
-        <li><a href="#amr-071">0.7.1</a></li>
-        <li><a href="#amr-070">0.7.0</a></li>
-        <li><a href="#amr-061">0.6.1</a></li>
-        <li><a href="#amr-060">0.6.0</a></li>
-        <li><a href="#amr-050">0.5.0</a></li>
-        <li><a href="#amr-040">0.4.0</a></li>
-        <li><a href="#amr-030">0.3.0</a></li>
-        <li><a href="#amr-020">0.2.0</a></li>
-        <li><a href="#amr-011">0.1.1</a></li>
-        <li><a href="#amr-010">0.1.0</a></li>
+        <li><a href="#amr-0-7-1-9014">0.7.1.9014</a></li>
+        <li><a href="#amr-0-7-1">0.7.1</a></li>
+        <li><a href="#amr-0-7-0">0.7.0</a></li>
+        <li><a href="#amr-0-6-1">0.6.1</a></li>
+        <li><a href="#amr-0-6-0">0.6.0</a></li>
+        <li><a href="#amr-0-5-0">0.5.0</a></li>
+        <li><a href="#amr-0-4-0">0.4.0</a></li>
+        <li><a href="#amr-0-3-0">0.3.0</a></li>
+        <li><a href="#amr-0-2-0">0.2.0</a></li>
+        <li><a href="#amr-0-1-1">0.1.1</a></li>
+        <li><a href="#amr-0-1-0">0.1.0</a></li>
       </ul>
     </div>
   </div>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index 9f781c72c..1c0ed4af 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -1,4 +1,4 @@
-pandoc: '2.6'
+pandoc: 2.3.1
 pkgdown: 1.3.0
 pkgdown_sha: ~
 articles:
diff --git a/docs/reference/index.html b/docs/reference/index.html
index ba022acb..c14926fe 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9013</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
       </span>
     </div>
 
diff --git a/git_premaster.sh b/git_premaster.sh
index 66a38be5..66cd388c 100755
--- a/git_premaster.sh
+++ b/git_premaster.sh
@@ -36,6 +36,7 @@ fi
 sed -i -- "s/^Version: .*/Version: ${new_version}/" DESCRIPTION
 # update 1st line of NEWS.md
 sed -i -- "1s/.*/# AMR ${new_version}/" NEWS.md
+rm *--
 echo "• First 3 lines of DESCRIPTION:"
 head -3 DESCRIPTION
 echo

From 240f03a672e17a4ab054e4d9ba746fa4f61c7418 Mon Sep 17 00:00:00 2001
From: "Matthijs S. Berends" <berendsms@gmail.com>
Date: Mon, 29 Jul 2019 13:33:48 +0200
Subject: [PATCH 2/4] (v0.7.1.9015) Remove freq()

---
 DESCRIPTION                                   |    6 +-
 NAMESPACE                                     |   48 +-
 NEWS.md                                       |    5 +-
 R/freq.R                                      | 1268 +----------------
 _pkgdown.yml                                  |    9 +-
 docs/LICENSE-text.html                        |    9 +-
 docs/articles/AMR.html                        |  851 ++++++-----
 .../AMR_files/figure-html/plot 1-1.png        |  Bin 65007 -> 64905 bytes
 .../AMR_files/figure-html/plot 3-1.png        |  Bin 52049 -> 52072 bytes
 .../AMR_files/figure-html/plot 4-1.png        |  Bin 104415 -> 104427 bytes
 .../AMR_files/figure-html/plot 5-1.png        |  Bin 78487 -> 78482 bytes
 docs/articles/EUCAST.html                     |   11 +-
 docs/articles/MDR.html                        |   77 +-
 docs/articles/SPSS.html                       |   11 +-
 docs/articles/WHONET.html                     |   41 +-
 docs/articles/benchmarks.html                 |   81 +-
 .../figure-html/unnamed-chunk-5-1.png         |  Bin 85754 -> 83566 bytes
 docs/articles/index.html                      |   10 +-
 docs/articles/resistance_predict.html         |   11 +-
 docs/authors.html                             |    9 +-
 docs/index.html                               |   12 +-
 docs/news/index.html                          |   56 +-
 docs/pkgdown.yml                              |    1 -
 docs/reference/AMR-deprecated.html            |    9 +-
 docs/reference/AMR.html                       |    9 +-
 docs/reference/WHOCC.html                     |    9 +-
 docs/reference/WHONET.html                    |    9 +-
 docs/reference/ab_property.html               |    9 +-
 docs/reference/age.html                       |    9 +-
 docs/reference/age_groups.html                |    9 +-
 docs/reference/antibiotics.html               |    9 +-
 docs/reference/as.ab.html                     |    9 +-
 docs/reference/as.disk.html                   |    9 +-
 docs/reference/as.mic.html                    |   11 +-
 docs/reference/as.mo.html                     |    9 +-
 docs/reference/as.rsi.html                    |   11 +-
 docs/reference/atc_online.html                |    9 +-
 docs/reference/availability.html              |    9 +-
 docs/reference/catalogue_of_life.html         |    9 +-
 docs/reference/catalogue_of_life_version.html |   13 +-
 docs/reference/count.html                     |    9 +-
 docs/reference/eucast_rules.html              |    9 +-
 docs/reference/extended-functions.html        |    9 +-
 docs/reference/filter_ab_class.html           |    9 +-
 docs/reference/first_isolate.html             |    9 +-
 docs/reference/g.test.html                    |    9 +-
 docs/reference/ggplot_rsi.html                |   11 +-
 docs/reference/guess_ab_col.html              |    9 +-
 docs/reference/index.html                     |   17 +-
 docs/reference/join.html                      |    9 +-
 docs/reference/key_antibiotics.html           |    9 +-
 docs/reference/kurtosis.html                  |    9 +-
 docs/reference/like.html                      |   11 +-
 docs/reference/mdro.html                      |    9 +-
 docs/reference/microorganisms.codes.html      |    9 +-
 docs/reference/microorganisms.html            |    9 +-
 docs/reference/microorganisms.old.html        |    9 +-
 docs/reference/mo_property.html               |    9 +-
 docs/reference/mo_source.html                 |    9 +-
 docs/reference/p.symbol.html                  |    9 +-
 docs/reference/portion.html                   |    9 +-
 docs/reference/read.4D.html                   |    9 +-
 docs/reference/resistance_predict.html        |    9 +-
 docs/reference/rsi_translation.html           |    9 +-
 docs/reference/septic_patients.html           |    9 +-
 docs/reference/skewness.html                  |    9 +-
 docs/reference/translate.html                 |    9 +-
 docs/sitemap.xml                              |    6 -
 index.md                                      |    2 -
 man/freq.Rd                                   |  234 ---
 tests/testthat/test-freq.R                    |  160 +--
 vignettes/AMR.Rmd                             |    9 +-
 vignettes/MDR.Rmd                             |    8 +-
 vignettes/WHONET.Rmd                          |   12 +-
 vignettes/freq.Rmd                            |  182 ---
 75 files changed, 668 insertions(+), 2877 deletions(-)
 delete mode 100755 man/freq.Rd
 delete mode 100644 vignettes/freq.Rmd

diff --git a/DESCRIPTION b/DESCRIPTION
index b1347770..beb819a6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: AMR
-Version: 0.7.1.9014
-Date: 2019-07-16
+Version: 0.7.1.9015
+Date: 2019-07-29
 Title: Antimicrobial Resistance Analysis
 Authors@R: c(
     person(
@@ -45,6 +45,7 @@ Depends:
     R (>= 3.1.0)
 Imports:
     backports,
+    clean,
     crayon (>= 1.3.0),
     data.table (>= 1.9.0),
     dplyr (>= 0.7.0),
@@ -59,7 +60,6 @@ Suggests:
     covr (>= 3.0.1),
     curl,
     readxl,
-    rmarkdown,
     rstudioapi,
     rvest (>= 0.3.2),
     testthat (>= 1.0.2),
diff --git a/NAMESPACE b/NAMESPACE
index e233f55e..42b15afb 100755
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,7 +1,6 @@
 # Generated by roxygen2: do not edit by hand
 
 S3method(as.data.frame,ab)
-S3method(as.data.frame,freq)
 S3method(as.data.frame,mo)
 S3method(as.double,mic)
 S3method(as.integer,mic)
@@ -10,28 +9,21 @@ S3method(as.rsi,data.frame)
 S3method(as.rsi,default)
 S3method(as.rsi,disk)
 S3method(as.rsi,mic)
-S3method(as.vector,freq)
-S3method(as_tibble,freq)
 S3method(barplot,mic)
 S3method(barplot,rsi)
-S3method(boxplot,freq)
-S3method(diff,freq)
 S3method(droplevels,mic)
 S3method(droplevels,rsi)
-S3method(format,freq)
-S3method(hist,freq)
+S3method(freq,mo)
+S3method(freq,rsi)
 S3method(kurtosis,data.frame)
 S3method(kurtosis,default)
 S3method(kurtosis,matrix)
-S3method(plot,freq)
 S3method(plot,mic)
 S3method(plot,resistance_predict)
 S3method(plot,rsi)
 S3method(print,ab)
 S3method(print,catalogue_of_life_version)
 S3method(print,disk)
-S3method(print,freq)
-S3method(print,frequency_tbl)
 S3method(print,mic)
 S3method(print,mo)
 S3method(print,mo_renamed)
@@ -39,7 +31,6 @@ S3method(print,mo_uncertainties)
 S3method(print,rsi)
 S3method(pull,ab)
 S3method(pull,mo)
-S3method(select,freq)
 S3method(skewness,data.frame)
 S3method(skewness,default)
 S3method(skewness,matrix)
@@ -98,8 +89,6 @@ export(filter_glycopeptides)
 export(filter_macrolides)
 export(filter_tetracyclines)
 export(first_isolate)
-export(freq)
-export(frequency_tbl)
 export(full_join_microorganisms)
 export(g.test)
 export(geom_rsi)
@@ -108,7 +97,6 @@ export(get_mo_source)
 export(ggplot_rsi)
 export(ggplot_rsi_predict)
 export(guess_ab_col)
-export(header)
 export(inner_join_microorganisms)
 export(is.ab)
 export(is.disk)
@@ -171,35 +159,26 @@ export(semi_join_microorganisms)
 export(set_mo_source)
 export(skewness)
 export(theme_rsi)
-export(top_freq)
 exportMethods(as.data.frame.ab)
-exportMethods(as.data.frame.freq)
 exportMethods(as.data.frame.mo)
 exportMethods(as.double.mic)
 exportMethods(as.integer.mic)
 exportMethods(as.numeric.mic)
-exportMethods(as.vector.freq)
-exportMethods(as_tibble.freq)
 exportMethods(barplot.mic)
 exportMethods(barplot.rsi)
-exportMethods(boxplot.freq)
-exportMethods(diff.freq)
 exportMethods(droplevels.mic)
 exportMethods(droplevels.rsi)
-exportMethods(format.freq)
-exportMethods(hist.freq)
+exportMethods(freq.mo)
+exportMethods(freq.rsi)
 exportMethods(kurtosis)
 exportMethods(kurtosis.data.frame)
 exportMethods(kurtosis.default)
 exportMethods(kurtosis.matrix)
-exportMethods(plot.freq)
 exportMethods(plot.mic)
 exportMethods(plot.rsi)
 exportMethods(print.ab)
 exportMethods(print.catalogue_of_life_version)
 exportMethods(print.disk)
-exportMethods(print.freq)
-exportMethods(print.frequency_tbl)
 exportMethods(print.mic)
 exportMethods(print.mo)
 exportMethods(print.mo_renamed)
@@ -209,7 +188,6 @@ exportMethods(pull.ab)
 exportMethods(pull.mo)
 exportMethods(scale_type.ab)
 exportMethods(scale_type.mo)
-exportMethods(select.freq)
 exportMethods(skewness)
 exportMethods(skewness.data.frame)
 exportMethods(skewness.default)
@@ -217,6 +195,7 @@ exportMethods(skewness.matrix)
 exportMethods(summary.mic)
 exportMethods(summary.mo)
 exportMethods(summary.rsi)
+importFrom(clean,freq)
 importFrom(crayon,bgGreen)
 importFrom(crayon,bgRed)
 importFrom(crayon,bgYellow)
@@ -232,7 +211,6 @@ importFrom(crayon,strip_style)
 importFrom(crayon,underline)
 importFrom(crayon,white)
 importFrom(crayon,yellow)
-importFrom(data.table,address)
 importFrom(data.table,as.data.table)
 importFrom(data.table,data.table)
 importFrom(data.table,setkey)
@@ -241,18 +219,14 @@ importFrom(dplyr,all_vars)
 importFrom(dplyr,any_vars)
 importFrom(dplyr,arrange)
 importFrom(dplyr,arrange_at)
-importFrom(dplyr,as_tibble)
 importFrom(dplyr,between)
-importFrom(dplyr,bind_cols)
 importFrom(dplyr,bind_rows)
 importFrom(dplyr,case_when)
-importFrom(dplyr,desc)
 importFrom(dplyr,distinct)
 importFrom(dplyr,everything)
 importFrom(dplyr,filter)
 importFrom(dplyr,filter_all)
 importFrom(dplyr,filter_at)
-importFrom(dplyr,full_join)
 importFrom(dplyr,funs)
 importFrom(dplyr,group_by)
 importFrom(dplyr,group_by_at)
@@ -275,35 +249,23 @@ importFrom(dplyr,slice)
 importFrom(dplyr,summarise)
 importFrom(dplyr,summarise_if)
 importFrom(dplyr,tibble)
-importFrom(dplyr,top_n)
 importFrom(dplyr,transmute)
-importFrom(dplyr,ungroup)
 importFrom(dplyr,vars)
-importFrom(grDevices,boxplot.stats)
 importFrom(graphics,arrows)
 importFrom(graphics,axis)
 importFrom(graphics,barplot)
-importFrom(graphics,boxplot)
-importFrom(graphics,hist)
 importFrom(graphics,par)
 importFrom(graphics,plot)
 importFrom(graphics,points)
 importFrom(graphics,text)
-importFrom(hms,is.hms)
-importFrom(knitr,kable)
 importFrom(microbenchmark,microbenchmark)
 importFrom(rlang,as_label)
 importFrom(rlang,enquos)
-importFrom(rlang,eval_tidy)
 importFrom(scales,percent)
 importFrom(stats,complete.cases)
-importFrom(stats,fivenum)
 importFrom(stats,glm)
 importFrom(stats,lm)
-importFrom(stats,mad)
 importFrom(stats,pchisq)
 importFrom(stats,predict)
-importFrom(stats,sd)
 importFrom(utils,browseURL)
-importFrom(utils,browseVignettes)
 importFrom(utils,installed.packages)
diff --git a/NEWS.md b/NEWS.md
index dc924db4..4dee93cc 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,7 @@
-# AMR 0.7.1.9014
+# AMR 0.7.1.9015
+
+### Breaking
+* Function `freq()` has moved to a new package, [`clean`](https://github.com/msberends/clean) ([CRAN link](https://cran.r-project.org/package=clean)). Creating frequency tables is actually not the scope of this package (never was) and this function has matured  a lot over the last two years. We decided to create a new package for data cleaning and checking and it perfectly fits the `freq()` function. The [`clean`](https://github.com/msberends/clean) package is available on CRAN and will be installed automatically when updating the `AMR` package, that now imports it. In a later stage, the `skewness()` and `kurtosis()` functions will be moved to the `clean` package too.
 
 ### New
 * Additional way to calculate co-resistance, i.e. when using multiple antibiotics as input for `portion_*` functions or `count_*` functions. This can be used to determine the empiric susceptibily of a combination therapy. A new parameter `only_all_tested` (**which defaults to `FALSE`**) replaces the old `also_single_tested` and can be used to select one of the two methods to count isolates and calculate portions. The difference can be seen in this example table (which is also on the `portion` and `count` help pages), where the %SI is being determined:
diff --git a/R/freq.R b/R/freq.R
index 83cadbe9..38ff3880 100755
--- a/R/freq.R
+++ b/R/freq.R
@@ -19,1254 +19,36 @@
 # Visit our website for more info: https://msberends.gitlab.io/AMR.    #
 # ==================================================================== #
 
-#' Frequency table
-#'
-#' Create a frequency table of a vector with items or a \code{data.frame}. Supports quasiquotation and markdown for reports. Best practice is: \code{data \%>\% freq(var)}.\cr
-#' \code{top_freq} can be used to get the top/bottom \emph{n} items of a frequency table, with counts as names.
-#' @param x vector of any class or a \code{\link{data.frame}}, \code{\link{tibble}} (may contain a grouping variable) or \code{\link{table}}
-#' @param ... up to nine different columns of \code{x} when \code{x} is a \code{data.frame} or \code{tibble}, to calculate frequencies from - see Examples. Also supports quasiquotion.
-#' @param sort.count sort on count, i.e. frequencies. This will be \code{TRUE} at default for everything except when using grouping variables.
-#' @param nmax number of row to print. The default, \code{15}, uses \code{\link{getOption}("max.print.freq")}. Use \code{nmax = 0}, \code{nmax = Inf}, \code{nmax = NULL} or \code{nmax = NA} to print all rows.
-#' @param na.rm a logical value indicating whether \code{NA} values should be removed from the frequency table. The header (if set) will always print the amount of \code{NA}s.
-#' @param row.names a logical value indicating whether row indices should be printed as \code{1:nrow(x)}
-#' @param markdown a logical value indicating whether the frequency table should be printed in markdown format. This will print all rows (except when \code{nmax} is defined) and is default behaviour in non-interactive R sessions (like when knitting RMarkdown files).
-#' @param digits how many significant digits are to be used for numeric values in the header (not for the items themselves, that depends on \code{\link{getOption}("digits")})
-#' @param quote a logical value indicating whether or not strings should be printed with surrounding quotes. Default is to print them only around characters that are actually numeric values.
-#' @param header a logical value indicating whether an informative header should be printed
-#' @param title text to show above frequency table, at default to tries to coerce from the variables passed to \code{x}
-#' @param na a character string that should be used to show empty (\code{NA}) values (only useful when \code{na.rm = FALSE})
-#' @param droplevels a logical value indicating whether in factors empty levels should be dropped
-#' @param sep a character string to separate the terms when selecting multiple columns
-#' @inheritParams base::format
-#' @param f a frequency table
-#' @param n number of top \emph{n} items to return, use -n for the bottom \emph{n} items. It will include more than \code{n} rows if there are ties.
-#' @param property property in header to return this value directly
-#' @details Frequency tables (or frequency distributions) are summaries of the distribution of values in a sample. With the `freq` function, you can create univariate frequency tables. Multiple variables will be pasted into one variable, so it forces a univariate distribution. This package also has a vignette available to explain the use of this function further, run \code{browseVignettes("AMR")} to read it.
-#'
-#' For numeric values of any class, these additional values will all be calculated with \code{na.rm = TRUE} and shown into the header:
-#' \itemize{
-#'   \item{Mean, using \code{\link[base]{mean}}}
-#'   \item{Standard Deviation, using \code{\link[stats]{sd}}}
-#'   \item{Coefficient of Variation (CV), the standard deviation divided by the mean}
-#'   \item{Mean Absolute Deviation (MAD), using \code{\link[stats]{mad}}}
-#'   \item{Tukey Five-Number Summaries (minimum, Q1, median, Q3, maximum), using \code{\link[stats]{fivenum}}}
-#'   \item{Interquartile Range (IQR) calculated as \code{Q3 - Q1} using the Tukey Five-Number Summaries, i.e. \strong{not} using the \code{\link[stats]{quantile}} function}
-#'   \item{Coefficient of Quartile Variation (CQV, sometimes called coefficient of dispersion), calculated as \code{(Q3 - Q1) / (Q3 + Q1)} using the Tukey Five-Number Summaries}
-#'   \item{Outliers (total count and unique count), using \code{\link[grDevices]{boxplot.stats}}}
-#' }
-#'
-#' For dates and times of any class, these additional values will be calculated with \code{na.rm = TRUE} and shown into the header:
-#' \itemize{
-#'   \item{Oldest, using \code{\link{min}}}
-#'   \item{Newest, using \code{\link{max}}, with difference between newest and oldest}
-#'   \item{Median, using \code{\link[stats]{median}}, with percentage since oldest}
-#' }
-#'
-#' In factors, all factor levels that are not existing in the input data will be dropped.
-#'
-#' The function \code{top_freq} uses \code{\link[dplyr]{top_n}} internally and will include more than \code{n} rows if there are ties.
-#' @importFrom stats fivenum sd mad
-#' @importFrom grDevices boxplot.stats
-#' @importFrom dplyr %>% arrange arrange_at bind_cols desc filter_at funs group_by mutate mutate_at n n_distinct pull select summarise tibble ungroup vars all_vars
-#' @importFrom utils browseVignettes
-#' @importFrom hms is.hms
-#' @importFrom crayon red green silver
-#' @importFrom rlang enquos eval_tidy as_label
-#' @keywords summary summarise frequency freq
-#' @rdname freq
-#' @name freq
-#' @return A \code{data.frame} (with an additional class \code{"freq"}) with five columns: \code{item}, \code{count}, \code{percent}, \code{cum_count} and \code{cum_percent}.
-#' @export
-#' @inheritSection AMR Read more on our website!
-#' @examples
-#' library(dplyr)
-#'
-#' # this all gives the same result:
-#' freq(septic_patients$hospital_id)
-#' freq(septic_patients[, "hospital_id"])
-#' septic_patients$hospital_id %>% freq()
-#' septic_patients[, "hospital_id"] %>% freq()
-#' septic_patients %>% freq("hospital_id")
-#' septic_patients %>% freq(hospital_id)  #<- easiest to remember (tidyverse)
-#'
-#'
-#' # you could also use `select` or `pull` to get your variables
-#' septic_patients %>%
-#'   filter(hospital_id == "A") %>%
-#'   select(mo) %>%
-#'   freq()
-#'
-#'
-#' # multiple selected variables will be pasted together
-#' septic_patients %>%
-#'   left_join_microorganisms %>%
-#'   freq(genus, species)
-#'
-#' # functions as quasiquotation are also supported
-#' septic_patients %>%
-#'   freq(mo_genus(mo), mo_species(mo))
-#'
-#'
-#' # group a variable and analyse another
-#' septic_patients %>%
-#'   group_by(hospital_id) %>%
-#'   freq(gender)
-#'
-#'
-#' # get top 10 bugs of hospital A as a vector
-#' septic_patients %>%
-#'   filter(hospital_id == "A") %>%
-#'   freq(mo) %>%
-#'   top_freq(10)
-#'
-#'
-#' # save frequency table to an object
-#' years <- septic_patients %>%
-#'   mutate(year = format(date, "%Y")) %>%
-#'   freq(year)
-#'
-#'
-#' # show only the top 5
-#' years %>% print(nmax = 5)
-#'
-#'
-#' # save to an object with formatted percentages
-#' years <- format(years)
-#'
-#'
-#' # print a histogram of numeric values
-#' septic_patients %>%
-#'   freq(age) %>%
-#'   hist()
-#'
-#' # or a boxplot of numeric values
-#' septic_patients %>%
-#'   freq(age) %>%
-#'   boxplot()
-#'
-#' # or even a boxplot per group
-#' septic_patients %>%
-#'   group_by(hospital_id) %>%
-#'   freq(age) %>%
-#'   boxplot()
-#'
-#' # or print all points to a regular plot
-#' septic_patients %>%
-#'   freq(age) %>%
-#'   plot()
-#'
-#'
-#' # transform to a data.frame or tibble
-#' septic_patients %>%
-#'   freq(age) %>%
-#'   as.data.frame()
-#'
-#'
-#' # or transform (back) to a vector
-#' septic_patients %>%
-#'   freq(age) %>%
-#'   as.vector()
-#'
-#' identical(septic_patients %>%
-#'             freq(age) %>%
-#'             as.vector() %>%
-#'             sort(),
-#'           sort(septic_patients$age)) # TRUE
-#'
-#'
-#' # it also supports `table` objects
-#' table(septic_patients$gender,
-#'       septic_patients$age) %>%
-#'   freq(sep = " **sep** ")
-#'
-#'
-#' # only get selected columns
-#' septic_patients %>%
-#'   freq(hospital_id) %>%
-#'   select(item, percent)
-#'
-#' septic_patients %>%
-#'   freq(hospital_id) %>%
-#'   select(-count, -cum_count)
-#'
-#'
-#' # check differences between frequency tables
-#' diff(freq(septic_patients$TMP),
-#'      freq(septic_patients$SXT))
-freq <- function(x,
-                 ...,
-                 sort.count = TRUE,
-                 nmax = getOption("max.print.freq"),
-                 na.rm = TRUE,
-                 row.names = TRUE,
-                 markdown = !interactive(),
-                 digits = 2,
-                 quote = NULL,
-                 header = TRUE,
-                 title = NULL,
-                 na = "<NA>",
-                 droplevels = TRUE,
-                 sep = " ",
-                 decimal.mark = getOption("OutDec"),
-                 big.mark = ifelse(decimal.mark != ",", ",", ".")) {
-
-  mult.columns <- 0
-  x.group = character(0)
-  df <- NULL
-  x.name <- NULL
-  cols <- NULL
-  cols.names <- NULL
-  if (any(class(x) == "list")) {
-    cols <- names(x)
-    cols.names <- cols
-    x <- as.data.frame(x, stringsAsFactors = FALSE)
-    x.name <- "a list"
-  } else if (any(class(x) == "matrix")) {
-    x <- as.data.frame(x, stringsAsFactors = FALSE)
-    x.name <- "a matrix"
-    cols <- colnames(x)
-    quote <- FALSE
-    cols.names <- cols
-    if (all(cols %like% "V[0-9]")) {
-      cols <- NULL
-    }
-  }
-
-  if (any(class(x) == "data.frame")) {
-
-    if (is.null(x.name)) {
-      x.name <- deparse(substitute(x))
-    }
-    if (x.name %like% "(%>%)") {
-      x.name <- x.name %>% strsplit("%>%", fixed = TRUE) %>% unlist() %>% .[1] %>% trimws()
-    }
-    if (x.name == ".") {
-      # passed on with pipe
-      x.name <- get_data_source_name(x)
-      if (!is.null(x.name)) {
-        x.name <- paste0("`", x.name, "`")
-      } else {
-        x.name <- "a data.frame"
-      }
-    } else if (!x.name %in% c("a list", "a matrix")) {
-      x.name <- paste0("`", x.name, "`")
-    }
-    x.name.dims <- x %>%
-      dim() %>%
-      format(decimal.mark = decimal.mark, big.mark = big.mark) %>%
-      trimws() %>%
-      paste(collapse = " x ")
-    x.name <- paste0(x.name, " (", x.name.dims, ")")
-
-    x.group <- group_vars(x)
-    if (length(x.group) > 1) {
-      x.group <- x.group[1L]
-      warning("freq supports one grouping variable, only `", x.group, "` will be kept.", call. = FALSE)
-    }
-
-    user_exprs <- enquos(...)
-
-    if (length(user_exprs) > 0) {
-      new_list <- list(0)
-      for (i in 1:length(user_exprs)) {
-        new_list[[i]] <- tryCatch(eval_tidy(user_exprs[[i]], data = x),
-                                  error = function(e) stop(e$message, call. = FALSE))
-        if (length(new_list[[i]]) == 1) {
-          if (is.character(new_list[[i]]) & new_list[[i]] %in% colnames(x)) {
-            # support septic_patients %>% freq("hospital_id")
-            new_list[[i]] <- x %>% pull(new_list[[i]])
-          }
-        }
-        cols <- c(cols, as_label(user_exprs[[i]]))
-      }
-
-      if (length(new_list) == 1 & length(x.group) == 0) {
-        # is now character
-        x <- new_list[[1]]
-        df <- NULL
-      } else {
-        # create data frame
-        df <- as.data.frame(new_list, col.names = cols, stringsAsFactors = FALSE)
-        cols.names <- colnames(df)
-      }
-    } else {
-      # complete data frame
-      df <- x
-    }
-
-    if (identical(x.group, cols.names)) {
-      # ... %>% group_by(var = calculation(..)) %>% freq(var)
-      x.group <- NULL
-    }
-
-    # support grouping variables
-    if (length(x.group) > 0) {
-      x.group_cols <- c(x.group, cols.names)
-      x <- bind_cols(x, df)
-      # if (droplevels == TRUE) {
-      #   x <- x %>% mutate_at(vars(x.group_cols), droplevels)
-      # }
-      suppressWarnings(
-        df <- x %>%
-          group_by_at(vars(x.group_cols)) %>%
-          summarise(count = n())
-      )
-      if (na.rm == TRUE) {
-        df <- df %>% filter_at(vars(x.group_cols), all_vars(!is.na(.)))
-      }
-      if (!missing(sort.count)) {
-        if (sort.count == TRUE) {
-          df <- df %>% arrange_at(c(x.group_cols, "count"), desc)
-        }
-      }
-      df <- df %>%
-        mutate(cum_count = cumsum(count))
-
-      df.topleft <- df[1, 1]
-      df <- df %>%
-        ungroup() %>%
-        # do not repeat group labels
-        mutate_at(vars(x.group), ~(ifelse(lag(.) == ., "", .)))
-      df[1, 1] <- df.topleft
-      colnames(df)[1:2] <- c("group", "item")
-
-      if (!is.null(levels(df$item)) & droplevels == TRUE) {
-        # is factor
-        df <- df %>% filter(count != 0)
-      }
-    } else {
-      if (!is.null(df)) {
-        # no groups, multiple values like: septic_patients %>% freq(mo, mo_genus(mo))
-        x <- df
-        df <- NULL
-      }
-    }
-    if (length(cols) > 0 & is.data.frame(x)) {
-      x <- x[, cols.names]
-    }
-
-  } else if (any(class(x) == "table")) {
-    x <- as.data.frame(x, stringsAsFactors = FALSE)
-    # now this DF contains 3 columns: the 2 vars and a Freq column
-    # paste the first 2 cols and repeat them Freq times:
-    x <- rep(x = do.call(paste, c(x[colnames(x)[1:2]], sep = sep)),
-             times = x$Freq)
-    x.name <- "a `table` object"
-    cols <- NULL
-    # mult.columns <- 2
-  } else {
-    x.name <- deparse(substitute(x))
-    if (all(x.name %like% "[$]") & length(x.name) == 1) {
-      cols <- unlist(strsplit(x.name, "$", fixed = TRUE))[2]
-      x.name <- unlist(strsplit(x.name, "$", fixed = TRUE))[1]
-      # try to find the object to determine dimensions
-
-      x.obj <- tryCatch(get(x.name), error = function(e) NULL)
-      x.name <- paste0("`", x.name , "`")
-      if (!is.null(dim(x.obj))) {
-        x.name <- paste0(x.name,
-                         " (",
-                         x.obj %>%
-                           dim() %>%
-                           format(decimal.mark = decimal.mark, big.mark = big.mark) %>%
-                           trimws() %>%
-                           paste(collapse = " x "),
-                         ")")
-      }
-    } else {
-      x.name <- NULL
-      cols <- NULL
-    }
-  }
-
-  if (!is.null(ncol(x))) {
-    if (ncol(x) == 1 & any(class(x) == "data.frame")) {
-      x <- x %>% pull(1)
-    } else if (ncol(x) < 10) {
-      mult.columns <- ncol(x)
-      # paste old columns together
-      x <- do.call(paste, c(x[colnames(x)], sep = sep))
-    } else {
-      stop("A maximum of 9 columns can be analysed at the same time.", call. = FALSE)
-    }
-  }
-
-  if (mult.columns > 1) {
-    NAs <- x[is.na(x) | x == trimws(strrep("NA ", mult.columns))]
-  } else {
-    NAs <- x[is.na(x)]
-  }
-
-  if (mult.columns > 0) {
-    header_list <- list(columns = mult.columns)
-  } else {
-    header_list <- list(class = class(x),
-                        mode = mode(x))
-  }
-  header_list$length <- length(x)
-
-  if (na.rm == TRUE) {
-    x_class <- class(x)
-    x <- x[!x %in% NAs]
-    class(x) <- x_class
-  }
-
-  markdown_line <- ""
-  if (markdown == TRUE) {
-    markdown_line <- "  "
-  }
-  x_align <- "l"
-
-  if (!is.null(levels(x))) {
-    header_list$levels <- levels(x)
-    header_list$ordered <- is.ordered(x)
-    # drop levels of non-existing factor values,
-    # since dplyr >= 0.8.0 does not do this anymore in group_by
-    if (droplevels == TRUE) {
-      x <- droplevels(x)
-    }
-  }
-
-  header_list$na_length <- length(NAs)
-  header_list$unique <- n_distinct(x)
-
-  if (NROW(x) > 0 & any(class(x) == "character")) {
-    header_list$shortest <- x %>% base::nchar() %>% base::min(na.rm = TRUE)
-    header_list$longest <- x %>% base::nchar() %>% base::max(na.rm = TRUE)
-  }
-
-  if (NROW(x) > 0 & any(class(x) == "mo")) {
-    x_mo <- as.mo(x) # do it once for all three
-    header_list$families <- x_mo %>% mo_family() %>% n_distinct()
-    header_list$genera <- x_mo %>% mo_genus() %>% n_distinct()
-    header_list$species <- x_mo %>% mo_species() %>% n_distinct()
-  }
-
-  if (NROW(x) > 0 & any(class(x) == "difftime") & !is.hms(x)) {
-    header_list$units <- attributes(x)$units
-    x <- as.double(x)
-    # after this, the numeric header_txt continues
-  }
-
-  if (NROW(x) > 0 & any(class(x) %in% c("double", "integer", "numeric", "raw", "single"))) {
-    # right align number
-    x_align <- "r"
-    header_list$mean <- base::mean(x, na.rm = TRUE)
-    header_list$sd <- stats::sd(x, na.rm = TRUE)
-    header_list$cv <- cv(x, na.rm = TRUE)
-    header_list$mad <- stats::mad(x, na.rm = TRUE)
-    Tukey_five <- stats::fivenum(x, na.rm = TRUE)
-    header_list$fivenum <- Tukey_five
-    header_list$IQR <- Tukey_five[4] - Tukey_five[2]
-    header_list$cqv <- cqv(x, na.rm = TRUE)
-    header_list$outliers_total <- length(boxplot.stats(x)$out)
-    header_list$outliers_unique <- n_distinct(boxplot.stats(x)$out)
-  }
-
-  if (any(class(x) == "rsi")) {
-    header_list$count_SI <- max(0, sum(x %in% c("S", "I"), na.rm = TRUE), na.rm = TRUE)
-    header_list$count_R <- max(0, sum(x == "R", na.rm = TRUE), na.rm = TRUE)
-  }
-
-  formatdates <- "%e %B %Y" # = d mmmm yyyy
-  if (is.hms(x)) {
-    x <- x %>% as.POSIXlt()
-    formatdates <- "%H:%M:%S"
-  }
-  if (NROW(x) > 0 & any(class(x) %in% c("Date", "POSIXct", "POSIXlt"))) {
-    if (formatdates == "%H:%M:%S") {
-      # hms
-      header_list$earliest <- min(x, na.rm = TRUE)
-      header_list$latest <- max(x, na.rm = TRUE)
-
-    } else {
-      # other date formats
-      header_list$oldest <- min(x, na.rm = TRUE)
-      header_list$newest <- max(x, na.rm = TRUE)
-    }
-    header_list$median <- median(x, na.rm = TRUE)
-    header_list$date_format <- formatdates
-  }
-  if (any(class(x) == "POSIXlt")) {
-    x <- x %>% format(formatdates)
-  }
-
-  nmax.set <- !missing(nmax)
-  if (!nmax.set & is.null(nmax) & is.null(base::getOption("max.print.freq", default = NULL))) {
-    # default for max print setting
-    nmax <- 15
-  } else if (is.null(nmax)) {
-    nmax <- length(x)
-  }
-
-  if (nmax %in% c(0, Inf, NA, NULL)) {
-    nmax <- length(x)
-  }
-
-  column_names <- c("Item", "Count", "Percent", "Cum. Count", "Cum. Percent")
-  column_names_df <- c("item", "count", "percent", "cum_count", "cum_percent")
-  column_align <- c(x_align, "r", "r", "r", "r")
-
-  if (is.null(df)) {
-
-    suppressWarnings( # suppress since dplyr 0.8.0, which idiotly warns about included NAs :(
-      # create table with counts and percentages
-      df <- tibble(item = x) %>%
-        group_by(item) %>%
-        summarise(count = n())
-    )
-
-    # sort according to setting
-    if (sort.count == TRUE) {
-      df <- df %>% arrange(desc(count), item)
-    } else {
-      df <- df %>% arrange(item)
-    }
-  } else {
-    column_names <- c("Group", column_names)
-    column_names_df <-c("group", column_names_df)
-    column_align <- c("l", column_align)
-  }
-
-  if (df$item %>% paste(collapse = ",") %like% "\033") {
-    # remove escape char
-    # see https://en.wikipedia.org/wiki/Escape_character#ASCII_escape_character
-    df <- df %>% mutate(item = item %>% gsub("\033", " ", ., fixed = TRUE))
-  }
-
-  if (is.null(quote)) {
-    if (!is.numeric(df$item) & all(df$item %like% "^[0-9]+$", na.rm = TRUE)) {
-      quote <- TRUE
-    } else {
-      quote <- FALSE
-    }
-  }
-
-  if (quote == TRUE) {
-    df$item <- paste0('"', df$item, '"')
-    if (length(x.group) != 0) {
-      df$group <- paste0('"', df$group, '"')
-    }
-  }
-
-  df <- as.data.frame(df, stringsAsFactors = FALSE)
-
-  df$percent <- df$count / base::sum(df$count, na.rm = TRUE)
-  if (length(x.group) == 0) {
-    df$cum_count <- base::cumsum(df$count)
-  }
-  df$cum_percent <- df$cum_count / base::sum(df$count, na.rm = TRUE)
-  if (length(x.group) != 0) {
-    # sort columns
-    df <- df[, column_names_df]
-  }
-
-  if (markdown == TRUE) {
-    tbl_format <- "markdown"
-  } else {
-    tbl_format <- "pandoc"
-  }
-
-  if (!is.null(title)) {
-    title <- trimws(gsub("^Frequency table of", "", title[1L], ignore.case = TRUE))
-  }
-
-  # if (nmax.set == FALSE) {
-  #   nmax <- nrow(df)
-  # }
-
-  structure(.Data = df,
-            class = unique(c("freq", class(df))),
-            header = header_list,
-            opt = list(title = title,
-                       data = x.name,
-                       vars = cols,
-                       group_var = x.group,
-                       header = header,
-                       row_names = row.names,
-                       column_names = column_names,
-                       column_align = column_align,
-                       decimal.mark = decimal.mark,
-                       big.mark = big.mark,
-                       tbl_format = tbl_format,
-                       na = na,
-                       digits = digits,
-                       nmax = nmax,
-                       nmax.set = nmax.set))
-}
-
-#' @rdname freq
-#' @export
-frequency_tbl <- freq
-
-is.freq <- function(f) {
-  any(c("freq", "frequency_tbl") %in% class(f))
-}
-
-#' @importFrom crayon silver green red
-#' @importFrom dplyr %>%
-format_header <- function(x, markdown = FALSE, decimal.mark = ".", big.mark = ",", digits = 2) {
-  newline <-"\n"
-  if (markdown == TRUE) {
-    newline <- "  \n"
-    # no colours in markdown
-    silver <- function(x) x
-    green <- function(x) x
-    red <- function(x) x
-  }
-
-  header <- header(x)
-  x_class <- header$class
-  has_length <- header$length > 0
-
-  # FORMATTING
-  # rsi
-  if (has_length == TRUE & any(x_class == "rsi")) {
-    if (!is.null(attributes(x)$opt$vars)) {
-      ab <- tryCatch(as.ab(attributes(x)$opt$vars), error = function(e) NA)
-      if (!is.na(ab) & isTRUE(length(ab) > 0)) {
-        header$drug <- paste0(ab_name(ab[1L]), " (", ab[1L], ", ", ab_atc(ab[1L]), ")")
-        header$group <- ab_group(ab[1L])
-      }
-    }
-    header$`%SI` <- percent(header$count_SI / (header$count_SI + header$count_R),
-                            force_zero = TRUE, round = digits, decimal.mark = decimal.mark)
-  }
-  header <- header[!names(header) %in% c("count_SI", "count_R")]
-  # dates
-  if (!is.null(header$date_format)) {
-    if (header$date_format == "%H:%M:%S") {
-      header$median <- paste0(format(header$median, header$date_format),
-                              " (",
-                              (as.double(difftime(header$median, header$earliest, units = "auto")) /
-                                 as.double(difftime(header$latest, header$earliest, units = "auto"))) %>%
-                                percent(round = digits, decimal.mark = decimal.mark), ")")
-      header$latest <- paste0(format(header$latest, header$date_format),
-                              " (+",
-                              difftime(header$latest, header$earliest, units = "mins") %>%
-                                as.double() %>%
-                                format(digits = digits, decimal.mark = decimal.mark, big.mark = big.mark),
-                              " min.)")
-      header$earliest <- format(header$earliest, header$date_format)
-
-      header$median <- trimws(header$median)
-      header$latest <- trimws(header$latest)
-      header$earliest <- trimws(header$earliest)
-    } else {
-      header$median <- paste0(format(header$median, header$date_format),
-                              " (",
-                              (as.double(difftime(header$median, header$oldest, units = "auto")) /
-                                 as.double(difftime(header$newest, header$oldest, units = "auto"))) %>%
-                                percent(round = digits, decimal.mark = decimal.mark), ")")
-      header$newest <- paste0(format(header$newest, header$date_format),
-                              " (+",
-                              difftime(header$newest, header$oldest, units = "auto") %>%
-                                as.double() %>%
-                                format(digits = digits, decimal.mark = decimal.mark, big.mark = big.mark),
-                              ")")
-      header$oldest <- format(header$oldest, header$date_format)
-
-      header$median <- trimws(header$median)
-      header$newest <- trimws(header$newest)
-      header$oldest <- trimws(header$oldest)
-    }
-    header <- header[names(header) != "date_format"]
-  }
-
-  # class and mode
-  if (is.null(header$columns)) {
-    if (!header$mode %in% header$class) {
-      header$class <- header$class %>% rev() %>% paste(collapse = " > ") %>% paste0(silver(paste0(" (", header$mode, ")")))
-    } else {
-      header$class <- header$class %>% rev() %>% paste(collapse = " > ")
-    }
-    header <- header[names(header) != "mode"]
-  }
-  # levels
-  if (!is.null(header$levels)) {
-    if (header$ordered == TRUE) {
-      levels_text <- paste0(header$levels, collapse = " < ")
-    } else {
-      levels_text <- paste0(header$levels, collapse = ", ")
-    }
-    if (nchar(levels_text) > 70) {
-      # levels text wider than half the console
-      levels_text <- paste0(substr(levels_text, 1, 70 - 3), "...")
-      if (nchar(gsub("[^`]", "", levels_text)) %% 2 == 1) {
-        # odd number of backticks, should be even
-        levels_text <- paste0(levels_text, "`")
-      }
-    }
-    header$levels <- paste0(length(header$levels), ": ", levels_text)
-    header <- header[names(header) != "ordered"]
-  }
-  # length and NAs
-  if (has_length == TRUE) {
-    na_txt <- paste0(header$na_length %>% format(decimal.mark = decimal.mark, big.mark = big.mark), " = ",
-                     (header$na_length / header$length) %>% percent(force_zero = TRUE, round = digits, decimal.mark = decimal.mark) %>%
-                       sub("NaN", "0", ., fixed = TRUE))
-    if (!na_txt %like% "^0 =") {
-      na_txt <- red(na_txt)
-    } else {
-      na_txt <- green(na_txt)
-    }
-    na_txt <- paste0("(of which NA: ", na_txt, ")")
-  } else {
-    na_txt <- ""
-  }
-  header$length <- paste(format(header$length, decimal.mark = decimal.mark, big.mark = big.mark),
-                         na_txt)
-  header <- header[names(header) != "na_length"]
-
-  # format all numeric values
-  header <- lapply(header, function(x) {
-    if (is.numeric(x)) {
-      if (any(x < 1000, na.rm = TRUE)) {
-        format(round2(x, digits = digits), decimal.mark = decimal.mark, big.mark = big.mark)
-      } else {
-        format(x, digits = digits, decimal.mark = decimal.mark, big.mark = big.mark)
-      }
-    } else {
-      x
-    }
-  })
-
-  # numeric values
-  if (has_length == TRUE & !is.null(header$sd)) {
-    # any(x_class %in% c("double", "integer", "numeric", "raw", "single"))) {
-    header$sd <- paste0(header$sd, " (CV: ", header$cv, ", MAD: ", header$mad, ")")
-    header$fivenum <- paste0(paste(trimws(header$fivenum), collapse = " | "), " (IQR: ", header$IQR, ", CQV: ", header$cqv, ")")
-    header$outliers_total <- paste0(header$outliers_total, " (unique count: ", header$outliers_unique, ")")
-    header <- header[!names(header) %in% c("cv", "mad", "IQR", "cqv", "outliers_unique")]
-  }
-
-  # header names
-  header_names <- paste0(names(header), ":  ")
-  header_names <- gsub("sd", "SD", header_names)
-  header_names <- gsub("fivenum", "Five-Num", header_names)
-  header_names <- gsub("outliers_total", "Outliers", header_names)
-  # capitalise first character
-  header_names <- gsub("^(.)", "\\U\\1", header_names, perl = TRUE)
-  # make all header captions equal size
-  header_names <- gsub("\\s", " ", format(header_names,
-                                          width = max(nchar(header_names),
-                                                      na.rm = TRUE)))
-  header <- paste0(header_names, header)
-  header <- paste(header, collapse = newline)
-  # add newline after 'Unique'
-  gsub("(.*Unique.*\\n)(.*?)", paste0("\\1", newline, "\\2"), header)
-}
-
-#' @rdname freq
-#' @export
-#' @importFrom dplyr top_n pull
-top_freq <- function(f, n) {
-  if (!is.freq(f)) {
-    stop("`top_freq` can only be applied to frequency tables", call. = FALSE)
-  }
-  if (!is.numeric(n) | length(n) != 1L) {
-    stop("For `top_freq`, 'n' must be a number of length 1", call. = FALSE)
-  }
-  top <- f %>% top_n(n, count)
-  vect <- top %>% pull(item)
-  names(vect) <- top %>% pull(count)
-  if (length(vect) > abs(n)) {
-    message("top_freq: selecting ", length(vect), " items instead of ", abs(n), ", because of ties")
-  }
-  vect
-}
-
-#' @rdname freq
-#' @export
-header <- function(f, property = NULL) {
-  if (!is.freq(f)) {
-    stop("`header` can only be applied to frequency tables", call. = FALSE)
-  }
-  if (is.null(property)) {
-    attributes(f)$header
-  } else {
-    a <- attributes(f)$header
-    if (any(property %in% names(f))) {
-      a[names(a) %in% property]
-    }
-  }
-}
-
-#' @noRd
-#' @exportMethod diff.freq
-#' @importFrom dplyr %>% full_join mutate
-#' @export
-diff.freq <- function(x, y, ...) {
-  # check classes
-  if (!is.freq(x) | !is.freq(y)) {
-    stop("Both x and y must be a frequency table.")
-  }
-
-  cat("Differences between frequency tables")
-  if (identical(x, y)) {
-    cat("\n\nNo differences found.\n")
-    return(invisible())
-  }
-
-  x.attr <- attributes(x)$opt
-
-  # only keep item and count
-  x <- x[, 1:2]
-  y <- y[, 1:2]
-
-  x <- x %>%
-    full_join(y,
-              by = colnames(x)[1],
-              suffix = c(".x", ".y")) %>%
-    mutate(
-      diff = case_when(
-        is.na(count.y) ~ -count.x,
-        is.na(count.x) ~ count.y,
-        TRUE ~ count.y - count.x)) %>%
-    mutate(
-      diff.percent = percent(
-        diff / count.x,
-        force_zero = TRUE)) %>%
-    mutate(diff = ifelse(diff %like% "^-",
-                         diff,
-                         paste0("+", diff)),
-           diff.percent = ifelse(diff.percent %like% "^-",
-                                 diff.percent,
-                                 paste0("+", diff.percent)))
-
-  print(
-    knitr::kable(x,
-                 format = x.attr$tbl_format,
-                 col.names = c("Item", "Count #1", "Count #2", "Difference", "Diff. percent"),
-                 align = paste0(x.attr$column_align[1], "rrrr"),
-                 padding = 1)
-  )
-}
-
-#' @rdname freq
-#' @exportMethod print.freq
-#' @importFrom knitr kable
+freq_def <- clean:::freq.default
+#' @exportMethod freq.mo
 #' @importFrom dplyr n_distinct
-#' @importFrom crayon bold silver
+#' @importFrom clean freq
 #' @export
-print.freq <- function(x,
-                       nmax = getOption("max.print.freq", default = 15),
-                       markdown = !interactive(),
-                       header = TRUE,
-                       decimal.mark = getOption("OutDec"),
-                       big.mark = ifelse(decimal.mark != ",", ",", "."),
-                       ...) {
-
-  opt <- attr(x, "opt")
-  if (is.null(opt)) {
-    # selection of frequency table, return original class
-    class(x) <- class(x)[!class(x) %in% c("freq", "frequency_tbl")]
-    print(x)
-    return(invisible())
-  }
-
-  opt$header_txt <- header(x)
-  if (is.null(opt$nmax)) {
-    opt$nmax <- 0
-  }
-  if (is.null(opt$tbl_format)) {
-    opt$tbl_format <- "pandoc"
-  }
-
-  dots <- list(...)
-  if ("markdown" %in% names(dots)) {
-    if (dots$markdown == TRUE) {
-      opt$tbl_format <- "markdown"
-    } else {
-      opt$tbl_format <- "pandoc"
-    }
-  }
-  if (!missing(markdown)) {
-    if (markdown == TRUE) {
-      opt$tbl_format <- "markdown"
-    } else {
-      opt$tbl_format <- "pandoc"
-    }
-  }
-
-  if (length(opt$vars) == 0) {
-    opt$vars <- NULL
-  }
-
-  if (is.null(opt$title)) {
-    if (isTRUE(opt$data %like% "^a data.frame") & isTRUE(opt$tbl_format == "markdown")) {
-      opt$data <- gsub("data.frame", "`data.frame`", opt$data, fixed = TRUE)
-    }
-    if (!is.null(opt$data) & !is.null(opt$vars)) {
-      title <- paste0("`", paste0(opt$vars, collapse = "` and `"), "` from ", opt$data)
-    } else if (!is.null(opt$data) & is.null(opt$vars)) {
-      title <- opt$data
-    } else if (is.null(opt$data) & !is.null(opt$vars)) {
-      title <- paste0("`", paste0(opt$vars, collapse = "` and `"), "`")
-    } else {
-      title <- ""
-    }
-    if (title != "" & length(opt$group_var) != 0) {
-      group_var <- paste0("(grouped by `", opt$group_var, "`)")
-      if (opt$tbl_format == "pandoc") {
-        group_var <- silver(group_var)
-      }
-      title <- paste(title, group_var)
-    }
-    title <- trimws(title)
-    if (title == "") {
-      title <- "Frequency table"
-    } else {
-      title <- paste("Frequency table of", trimws(title))
-    }
-  } else {
-    title <- opt$title
-  }
-
-  if (!missing(nmax) | is.null(opt$nmax)) {
-    opt$nmax <- nmax
-    opt$nmax.set <- TRUE
-  }
-  if (isTRUE(opt$nmax %in% c(0, Inf, NA, NULL))) {
-    opt$nmax <- NROW(x)
-    opt$nmax.set <- FALSE
-  } else if (isTRUE(opt$nmax >= NROW(x))) {
-    opt$nmax.set <- FALSE
-  }
-
-  if (!missing(decimal.mark) | is.null(opt$decimal.mark)) {
-    opt$decimal.mark <- decimal.mark
-  }
-  if (!missing(big.mark) | is.null(opt$big.mark)) {
-    opt$big.mark <- big.mark
-  }
-  if (!missing(header)) {
-    opt$header <- header
-  }
-
-  # bold title
-  if (isTRUE(opt$tbl_format == "pandoc")) {
-    title <- bold(title)
-  } else if (isTRUE(opt$tbl_format == "markdown")) {
-    title <- paste0("\n\n**", title, "**  ") # two space for newline
-  }
-
-  cat(title, "\n\n")
-
-  if (NROW(x) == 0 | isTRUE(all(is.na(x$item)))) {
-    cat("No observations")
-    if (isTRUE(all(is.na(x$item) | identical(x$item, "<NA>") | identical(x$item, "(NA)")))) {
-      cat(" - all values are missing (<NA>)")
-    }
-    cat(".\n")
-    if (opt$tbl_format == "markdown") {
-      cat("\n")
-    }
-    return(invisible())
-  }
-
-  if (isTRUE(opt$header == TRUE)) {
-    if (!is.null(opt$header_txt)) {
-      if (is.null(opt$digits)) {
-        opt$digits <- 2
-      }
-      cat(format_header(x, digits = opt$digits, markdown = (opt$tbl_format == "markdown"),
-                        decimal.mark = decimal.mark, big.mark = big.mark))
-    }
-  }
-
-  # save old NA setting for kable
-  opt.old <- options()$knitr.kable.NA
-  if (is.null(opt$na)) {
-    opt$na <- "<NA>"
-  }
-  if (isTRUE(opt$tbl_format == "markdown")) {
-    # no HTML tags
-    opt$na <- gsub("<", "(", opt$na, fixed = TRUE)
-    opt$na <- gsub(">", ")", opt$na, fixed = TRUE)
-  }
-  options(knitr.kable.NA = opt$na)
-
-  x.rows <- nrow(x)
-  x.unprinted <- base::sum(x[(opt$nmax + 1):nrow(x), "count"], na.rm = TRUE)
-  x.printed <- base::sum(x$count) - x.unprinted
-
-  if (nrow(x) > opt$nmax & isTRUE(opt$tbl_format != "markdown")) {
-
-    if (opt$nmax.set == TRUE) {
-      nmax <- opt$nmax
-    } else {
-      nmax <- getOption("max.print.freq", default = 15)
-    }
-
-    x <- x[1:nmax,]
-
-    if (opt$nmax.set == TRUE) {
-      footer <- paste("[ reached `nmax = ", opt$nmax, "`", sep = "")
-    } else {
-      footer <- '[ reached getOption("max.print.freq")'
-    }
-    footer <- paste(footer,
-                    " -- omitted ",
-                    format(x.rows - opt$nmax, big.mark = opt$big.mark, decimal.mark = opt$decimal.mark),
-                    " entries, n = ",
-                    format(x.unprinted, big.mark = opt$big.mark, decimal.mark = opt$decimal.mark),
-                    " (",
-                    (x.unprinted / (x.unprinted + x.printed)) %>% percent(force_zero = TRUE, decimal.mark = opt$decimal.mark),
-                    ") ]\n", sep = "")
-    if (opt$tbl_format == "pandoc") {
-      footer <- silver(footer) # only silver in regular printing
-    }
-  } else if (opt$tbl_format == "markdown") {
-    if (opt$nmax.set == TRUE) {
-      x <- x[1:opt$nmax,]
-      footer <- paste("\n(omitted ",
-                      format(x.rows - opt$nmax, big.mark = opt$big.mark, decimal.mark = opt$decimal.mark),
-                      " entries, n = ",
-                      format(x.unprinted, big.mark = opt$big.mark, decimal.mark = opt$decimal.mark),
-                      " [",
-                      (x.unprinted / (x.unprinted + x.printed)) %>% percent(force_zero = TRUE, decimal.mark = opt$decimal.mark),
-                      "])\n", sep = "")
-    } else {
-      footer <- NULL
-    }
-  } else {
-    footer <- NULL
-  }
-
-  if ("item" %in% colnames(x)) {
-    if (any(class(x$item) %in% c("double", "integer", "numeric", "raw", "single"))) {
-      x$item <- format(x$item, decimal.mark = opt$decimal.mark, big.mark = opt$big.mark)
-    }
-  } else {
-    opt$column_names <- opt$column_names[!opt$column_names == "Item"]
-  }
-
-  all_unique <- FALSE
-  if ("count" %in% colnames(x)) {
-    if (all(x$count == 1)) {
-      all_unique <- TRUE
-    }
-    x$count <- format(x$count, decimal.mark = opt$decimal.mark, big.mark = opt$big.mark)
-  } else {
-    opt$column_names <- opt$column_names[!opt$column_names == "Count"]
-  }
-  if ("percent" %in% colnames(x)) {
-    x$percent <- percent(x$percent, force_zero = TRUE, decimal.mark = opt$decimal.mark)
-  } else {
-    opt$column_names <- opt$column_names[!opt$column_names == "Percent"]
-  }
-  if ("cum_count" %in% colnames(x)) {
-    x$cum_count <- format(x$cum_count, decimal.mark = opt$decimal.mark, big.mark = opt$big.mark)
-  } else {
-    opt$column_names <- opt$column_names[!opt$column_names == "Cum. Count"]
-  }
-  if ("cum_percent" %in% colnames(x)) {
-    x$cum_percent <- percent(x$cum_percent, force_zero = TRUE, decimal.mark = opt$decimal.mark)
-  } else {
-    opt$column_names <- opt$column_names[!opt$column_names == "Cum. Percent"]
-  }
-
-  if (opt$tbl_format == "markdown") {
-    cat("\n")
-  }
-
-  if (is.null(opt$row_names)) {
-    opt$row_names <- TRUE
-  }
-  if (is.null(opt$column_names)) {
-    opt$column_names <- colnames(x)
-  }
-
-  print(
-    knitr::kable(x,
-                 format = opt$tbl_format,
-                 row.names = opt$row_names,
-                 col.names = opt$column_names,
-                 align = opt$column_align,
-                 padding = 1)
-  )
-
-  if (!is.null(footer)) {
-    cat(footer)
-  }
-
-  if (opt$tbl_format == "markdown") {
-    cat("\n\n")
-  } else {
-    cat("\n")
-  }
-
-  if (all_unique == TRUE) {
-    message("NOTE: All observations are unique.")
-  }
-
-  # reset old kable setting
-  options(knitr.kable.NA = opt.old)
-  return(invisible())
-
-}
-
 #' @noRd
-#' @exportMethod print.frequency_tbl
-#' @export
-print.frequency_tbl <- print.freq
+freq.mo <- function(x, ...) {
+  # replace with freq.default() if next `clean` version is published on CRAN
+  freq_def(x = x, ...,
+           .add_header = list(families = n_distinct(mo_family(x, language = NULL)),
+                              genera = n_distinct(mo_genus(x, language = NULL)),
+                              species = n_distinct(paste(mo_genus(x, language = NULL),
+                                                         mo_species(x, language = NULL)))))
+}
 
+#' @exportMethod freq.rsi
+#' @importFrom clean freq
+#' @export
 #' @noRd
-#' @exportMethod as.data.frame.freq
-#' @export
-as.data.frame.freq <- function(x, ...) {
-  attr(x, "package") <- NULL
-  attr(x, "opt") <- NULL
-  as.data.frame.data.frame(x, ...)
-}
-
-#' @exportMethod select.freq
-#' @export
-#' @importFrom dplyr select
-#' @noRd
-select.freq <- function(.data, ...) {
-  select(as.data.frame(.data), ...)
-}
-
-#' @noRd
-#' @exportMethod as_tibble.freq
-#' @export
-#' @importFrom dplyr as_tibble
-as_tibble.freq <- function(x, validate = TRUE, ..., rownames = NA) {
-  attr(x, "package") <- NULL
-  attr(x, "opt") <- NULL
-  as_tibble(x = as.data.frame(x), validate = validate, ..., rownames = rownames)
-}
-
-#' @noRd
-#' @exportMethod hist.freq
-#' @export
-#' @importFrom graphics hist
-hist.freq <- function(x, breaks = "Sturges", main = NULL, xlab = NULL, ...) {
-  opt <- attr(x, "opt")
-  if (!class(x$item) %in% c("numeric", "double", "integer", "Date")) {
-    stop("`x` must be numeric or Date.", call. = FALSE)
-  }
-  if (!is.null(opt$vars)) {
-    title <- opt$vars
-  } else if (!is.null(opt$data)) {
-    title <- opt$data
+freq.rsi <- function(x, ...) {
+  x_name <- deparse(substitute(x))
+  x_name <- gsub(".*[$]", "", x_name)
+  ab <- suppressMessages(suppressWarnings(AMR::as.ab(x_name)))
+  if (!is.na(ab)) {
+    freq_def(x = x, ...,
+             .add_header = list(Drug = paste0(ab_name(ab), " (", ab, ", ", ab_atc(ab), ")"),
+                                group = ab_group(ab),
+                                `%SI` = portion_SI(x, minimum = 0, as_percent = TRUE)))
   } else {
-    title <- "frequency table"
-  }
-  if (class(x$item) == "Date") {
-    x <- as.Date(as.vector(x), origin = "1970-01-01")
-  } else {
-    x <- as.vector(x)
-  }
-  if (is.null(main)) {
-    main <- paste("Histogram of", title)
-  }
-  if (is.null(xlab)) {
-    xlab <- title
-  }
-  hist(x, main = main, xlab = xlab, breaks = breaks, ...)
-}
-
-#' @noRd
-#' @exportMethod boxplot.freq
-#' @export
-#' @importFrom graphics boxplot
-boxplot.freq <- function(x, main = NULL, xlab = NULL, ...) {
-  opt <- attr(x, "opt")
-  x.bak <- x
-  if (!class(x$item) %in% c("numeric", "double", "integer", "Date")) {
-    stop("`x` must be numeric or Date.", call. = FALSE)
-  }
-  if (!is.null(opt$vars)) {
-    title <- opt$vars
-  } else if (!is.null(opt$data)) {
-    title <- opt$data
-  } else {
-    title <- "frequency table"
-  }
-  if (class(x$item) == "Date") {
-    x <- as.Date(as.vector(x), origin = "1970-01-01")
-  } else {
-    x <- as.vector(x)
-  }
-  if (is.null(main)) {
-    main <- paste("Boxplot of", title)
-  }
-  if (is.null(xlab)) {
-    xlab <- title
-  }
-  if (!is.null(opt$group_var) & isTRUE(length(opt$group_var) > 0)) {
-    # support for grouped frequency table
-    x.new <- data.frame(group = character(0), item = character(0))
-    for (i in 1:nrow(x.bak)) {
-      if (x.bak[i, "group"] == "") {
-        x.bak[i, "group"] <- x.bak[i - 1, "group"]
-      }
-      for (j in 1:x.bak[i, "count"]) {
-        x.new <- rbind(x.new,
-                       data.frame(group = x.bak[i, "group"],
-                                  item = x.bak[i, "item"]))
-      }
-    }
-    boxplot(item ~ group, data = x.bak, main = main, ylab = xlab, xlab = opt$group_var, ...)
-  } else {
-    boxplot(x, main = main, xlab = xlab, ...)
-  }
-}
-
-#' @noRd
-#' @exportMethod plot.freq
-#' @export
-plot.freq <- function(x, y, ...) {
-  opt <- attr(x, "opt")
-  if (!is.null(opt$vars)) {
-    title <- opt$vars
-  } else {
-    title <- ""
-  }
-  plot(x = x$item, y = x$count, ylab = "Count", xlab = title, ...)
-}
-
-#' @noRd
-#' @exportMethod as.vector.freq
-#' @export
-as.vector.freq <- function(x, mode = "any") {
-  as.vector(rep(x$item, x$count), mode = mode)
-}
-
-#' @noRd
-#' @exportMethod format.freq
-#' @export
-format.freq <- function(x, digits = 1, ...) {
-  opt <- attr(x, "opt")
-  if (opt$nmax.set == TRUE) {
-    nmax <- opt$nmax
-  } else {
-    nmax <- getOption("max.print.freq", default = 15)
-  }
-
-  x <- x[1:nmax,]
-  x$percent <- percent(x$percent, round = digits, force_zero = TRUE)
-  x$cum_percent <- percent(x$cum_percent, round = digits, force_zero = TRUE)
-  base::format.data.frame(x, ...)
-}
-
-#' @importFrom data.table address
-get_data_source_name <- function(x, else_txt = NULL) {
-  obj_addr <- address(x)
-  # try global environment
-  addrs <- unlist(lapply(ls(".GlobalEnv"), function(x) address(get(x))))
-  res <- ls(".GlobalEnv")[addrs == obj_addr]
-  if (length(res) == 0) {
-    # check AMR package - some users might use our data sets for testing
-    addrs <- unlist(lapply(ls("package:AMR"), function(x) address(get(x))))
-    res <- ls("package:AMR")[addrs == obj_addr]
-  }
-  if (length(res) == 0) {
-    else_txt
-  } else {
-    res
+    freq_def(x = x, ...,
+             .add_header = list(`%SI` = portion_SI(x, minimum = 0, as_percent = TRUE)))
   }
 }
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 380e5f53..b230db94 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -62,12 +62,6 @@ navbar:
       - text: "Get properties of an antibiotic"
         icon: "fa-capsules"
         href: "reference/ab_property.html" # reference instead of article
-      - text: "Create frequency tables"
-        icon: "fa-sort-amount-down"
-        href: "articles/freq.html"
-#       - text: "Use the G-test"
-#         icon: "fa-clipboard-check"
-#         href: "reference/g.test.html" # reference instead of article
       - text: "Other: benchmarks"
         icon: "fa-shipping-fast"
         href: "articles/benchmarks.html"
@@ -130,13 +124,12 @@ reference:
   - title: "Analysing your data"
     desc: >
       Functions for conducting AMR analysis, like counting isolates, calculating
-      resistance or susceptibility, creating frequency tables or make plots.
+      resistance or susceptibility, or make plots.
     contents:
     - "`availability`"
     - "`count`"
     - "`portion`"
     - "`filter_ab_class`"
-    - "`freq`"
     - "`g.test`"
     - "`ggplot_rsi`"
     - "`kurtosis`"
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index bcc8c1b6..9aba1cdb 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9014</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -156,13 +156,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/articles/AMR.html b/docs/articles/AMR.html
index f1537c11..bed45232 100644
--- a/docs/articles/AMR.html
+++ b/docs/articles/AMR.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>How to conduct AMR analysis</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>AMR.Rmd</code></div>
@@ -201,7 +194,7 @@
 
     
     
-<p><strong>Note:</strong> values on this page will change with every website update since they are based on randomly created values and the page was written in <a href="https://rmarkdown.rstudio.com/">R Markdown</a>. However, the methodology remains unchanged. This page was generated on 10 July 2019.</p>
+<p><strong>Note:</strong> values on this page will change with every website update since they are based on randomly created values and the page was written in <a href="https://rmarkdown.rstudio.com/">R Markdown</a>. However, the methodology remains unchanged. This page was generated on 29 July 2019.</p>
 <div id="introduction" class="section level1">
 <h1 class="hasAnchor">
 <a href="#introduction" class="anchor"></a>Introduction</h1>
@@ -217,21 +210,21 @@
 </tr></thead>
 <tbody>
 <tr class="odd">
-<td align="center">2019-07-10</td>
+<td align="center">2019-07-29</td>
 <td align="center">abcd</td>
 <td align="center">Escherichia coli</td>
 <td align="center">S</td>
 <td align="center">S</td>
 </tr>
 <tr class="even">
-<td align="center">2019-07-10</td>
+<td align="center">2019-07-29</td>
 <td align="center">abcd</td>
 <td align="center">Escherichia coli</td>
 <td align="center">S</td>
 <td align="center">R</td>
 </tr>
 <tr class="odd">
-<td align="center">2019-07-10</td>
+<td align="center">2019-07-29</td>
 <td align="center">efgh</td>
 <td align="center">Escherichia coli</td>
 <td align="center">R</td>
@@ -327,42 +320,9 @@
 </tr></thead>
 <tbody>
 <tr class="odd">
-<td align="center">2011-07-20</td>
-<td align="center">X1</td>
-<td align="center">Hospital C</td>
-<td align="center">Staphylococcus aureus</td>
-<td align="center">R</td>
-<td align="center">I</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">F</td>
-</tr>
-<tr class="even">
-<td align="center">2017-12-18</td>
-<td align="center">Q8</td>
-<td align="center">Hospital B</td>
-<td align="center">Streptococcus pneumoniae</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">F</td>
-</tr>
-<tr class="odd">
-<td align="center">2015-12-08</td>
-<td align="center">X5</td>
-<td align="center">Hospital B</td>
-<td align="center">Staphylococcus aureus</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">R</td>
-<td align="center">R</td>
-<td align="center">F</td>
-</tr>
-<tr class="even">
-<td align="center">2011-12-08</td>
-<td align="center">X3</td>
-<td align="center">Hospital B</td>
+<td align="center">2017-01-19</td>
+<td align="center">U10</td>
+<td align="center">Hospital A</td>
 <td align="center">Klebsiella pneumoniae</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -370,27 +330,60 @@
 <td align="center">S</td>
 <td align="center">F</td>
 </tr>
+<tr class="even">
+<td align="center">2011-09-03</td>
+<td align="center">T7</td>
+<td align="center">Hospital B</td>
+<td align="center">Escherichia coli</td>
+<td align="center">I</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">R</td>
+<td align="center">F</td>
+</tr>
 <tr class="odd">
-<td align="center">2011-01-02</td>
-<td align="center">E1</td>
+<td align="center">2011-12-04</td>
+<td align="center">U5</td>
 <td align="center">Hospital A</td>
-<td align="center">Streptococcus pneumoniae</td>
+<td align="center">Staphylococcus aureus</td>
 <td align="center">R</td>
 <td align="center">S</td>
+<td align="center">R</td>
+<td align="center">S</td>
+<td align="center">F</td>
+</tr>
+<tr class="even">
+<td align="center">2014-06-26</td>
+<td align="center">O1</td>
+<td align="center">Hospital A</td>
+<td align="center">Staphylococcus aureus</td>
+<td align="center">S</td>
+<td align="center">I</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">F</td>
+</tr>
+<tr class="odd">
+<td align="center">2012-08-04</td>
+<td align="center">G2</td>
+<td align="center">Hospital B</td>
+<td align="center">Streptococcus pneumoniae</td>
+<td align="center">R</td>
+<td align="center">R</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">M</td>
 </tr>
 <tr class="even">
-<td align="center">2012-10-22</td>
-<td align="center">K1</td>
-<td align="center">Hospital C</td>
+<td align="center">2015-05-10</td>
+<td align="center">W8</td>
+<td align="center">Hospital B</td>
 <td align="center">Streptococcus pneumoniae</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
-<td align="center">M</td>
+<td align="center">F</td>
 </tr>
 </tbody>
 </table>
@@ -400,9 +393,11 @@
 <div id="cleaning-the-data" class="section level1">
 <h1 class="hasAnchor">
 <a href="#cleaning-the-data" class="anchor"></a>Cleaning the data</h1>
-<p>Use the frequency table function <code><a href="../reference/freq.html">freq()</a></code> to look specifically for unique values in any variable. For example, for the <code>gender</code> variable:</p>
-<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender) <span class="co"># this would be the same: freq(data$gender)</span></a></code></pre></div>
-<pre><code># Frequency table of `gender` from `data` (20,000 x 9) 
+<p>We also created a package dedicated to data cleaning and checking, called the <code>clean</code> package. It gets automatically installed with the <code>AMR</code> package, so we only have to load it:</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(clean)</a></code></pre></div>
+<p>Use the frequency table function <code><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq()</a></code> from this <code>clean</code> package to look specifically for unique values in any variable. For example, for the <code>gender</code> variable:</p>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq</a></span>(gender) <span class="co"># this would be the same: freq(data$gender)</span></a></code></pre></div>
+<pre><code># Frequency table 
 # 
 # Class:   factor (numeric)
 # Length:  20,000 (of which NA: 0 = 0.00%)
@@ -411,82 +406,82 @@
 # 
 #      Item     Count   Percent   Cum. Count   Cum. Percent
 # ---  -----  -------  --------  -----------  -------------
-# 1    M       10,454     52.3%       10,454          52.3%
-# 2    F        9,546     47.7%       20,000         100.0%</code></pre>
+# 1    M       10,424     52.1%       10,424          52.1%
+# 2    F        9,576     47.9%       20,000         100.0%</code></pre>
 <p>So, we can draw at least two conclusions immediately. From a data scientists perspective, the data looks clean: only values <code>M</code> and <code>F</code>. From a researchers perspective: there are slightly more men. Nothing we didn’t already know.</p>
 <p>The data is already quite clean, but we still need to transform some variables. The <code>bacteria</code> column now consists of text, and we want to add more variables based on microbial IDs later on. So, we will transform this column to valid IDs. The <code><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate()</a></code> function of the <code>dplyr</code> package makes this really easy:</p>
-<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb12-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">bacteria =</span> <span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(bacteria))</a></code></pre></div>
-<p>We also want to transform the antibiotics, because in real life data we don’t know if they are really clean. The <code><a href="../reference/as.rsi.html">as.rsi()</a></code> function ensures reliability and reproducibility in these kind of variables. The <code><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at()</a></code> will run the <code><a href="../reference/as.rsi.html">as.rsi()</a></code> function on defined variables:</p>
 <div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb13-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span>(<span class="kw"><a href="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span>(AMX<span class="op">:</span>GEN), as.rsi)</a></code></pre></div>
+<a class="sourceLine" id="cb13-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">bacteria =</span> <span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(bacteria))</a></code></pre></div>
+<p>We also want to transform the antibiotics, because in real life data we don’t know if they are really clean. The <code><a href="../reference/as.rsi.html">as.rsi()</a></code> function ensures reliability and reproducibility in these kind of variables. The <code><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at()</a></code> will run the <code><a href="../reference/as.rsi.html">as.rsi()</a></code> function on defined variables:</p>
+<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb14-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span>(<span class="kw"><a href="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span>(AMX<span class="op">:</span>GEN), as.rsi)</a></code></pre></div>
 <p>Finally, we will apply <a href="http://www.eucast.org/expert_rules_and_intrinsic_resistance/">EUCAST rules</a> on our antimicrobial results. In Europe, most medical microbiological laboratories already apply these rules. Our package features their latest insights on intrinsic resistance and exceptional phenotypes. Moreover, the <code><a href="../reference/eucast_rules.html">eucast_rules()</a></code> function can also apply additional rules, like forcing <help title="ATC: J01CA01">ampicillin</help> = R when <help title="ATC: J01CR02">amoxicillin/clavulanic acid</help> = R.</p>
 <p>Because the amoxicillin (column <code>AMX</code>) and amoxicillin/clavulanic acid (column <code>AMC</code>) in our data were generated randomly, some rows will undoubtedly contain AMX = S and AMC = R, which is technically impossible. The <code><a href="../reference/eucast_rules.html">eucast_rules()</a></code> fixes this:</p>
-<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" data-line-number="1">data &lt;-<span class="st"> </span><span class="kw"><a href="../reference/eucast_rules.html">eucast_rules</a></span>(data, <span class="dt">col_mo =</span> <span class="st">"bacteria"</span>)</a>
-<a class="sourceLine" id="cb14-2" data-line-number="2"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-3" data-line-number="3"><span class="co"># Rules by the European Committee on Antimicrobial Susceptibility Testing (EUCAST)</span></a>
-<a class="sourceLine" id="cb14-4" data-line-number="4"><span class="co"># http://eucast.org/</span></a>
-<a class="sourceLine" id="cb14-5" data-line-number="5"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-6" data-line-number="6"><span class="co"># EUCAST Clinical Breakpoints (v9.0, 2019)</span></a>
-<a class="sourceLine" id="cb14-7" data-line-number="7"><span class="co"># Aerococcus sanguinicola (no new changes)</span></a>
-<a class="sourceLine" id="cb14-8" data-line-number="8"><span class="co"># Aerococcus urinae (no new changes)</span></a>
-<a class="sourceLine" id="cb14-9" data-line-number="9"><span class="co"># Anaerobic Gram-negatives (no new changes)</span></a>
-<a class="sourceLine" id="cb14-10" data-line-number="10"><span class="co"># Anaerobic Gram-positives (no new changes)</span></a>
-<a class="sourceLine" id="cb14-11" data-line-number="11"><span class="co"># Campylobacter coli (no new changes)</span></a>
-<a class="sourceLine" id="cb14-12" data-line-number="12"><span class="co"># Campylobacter jejuni (no new changes)</span></a>
-<a class="sourceLine" id="cb14-13" data-line-number="13"><span class="co"># Enterobacteriales (Order) (no new changes)</span></a>
-<a class="sourceLine" id="cb14-14" data-line-number="14"><span class="co"># Enterococcus (no new changes)</span></a>
-<a class="sourceLine" id="cb14-15" data-line-number="15"><span class="co"># Haemophilus influenzae (no new changes)</span></a>
-<a class="sourceLine" id="cb14-16" data-line-number="16"><span class="co"># Kingella kingae (no new changes)</span></a>
-<a class="sourceLine" id="cb14-17" data-line-number="17"><span class="co"># Moraxella catarrhalis (no new changes)</span></a>
-<a class="sourceLine" id="cb14-18" data-line-number="18"><span class="co"># Pasteurella multocida (no new changes)</span></a>
-<a class="sourceLine" id="cb14-19" data-line-number="19"><span class="co"># Staphylococcus (no new changes)</span></a>
-<a class="sourceLine" id="cb14-20" data-line-number="20"><span class="co"># Streptococcus groups A, B, C, G (no new changes)</span></a>
-<a class="sourceLine" id="cb14-21" data-line-number="21"><span class="co"># Streptococcus pneumoniae (1,481 new changes)</span></a>
-<a class="sourceLine" id="cb14-22" data-line-number="22"><span class="co"># Viridans group streptococci (no new changes)</span></a>
-<a class="sourceLine" id="cb14-23" data-line-number="23"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-24" data-line-number="24"><span class="co"># EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes (v3.1, 2016)</span></a>
-<a class="sourceLine" id="cb14-25" data-line-number="25"><span class="co"># Table 01: Intrinsic resistance in Enterobacteriaceae (1,328 new changes)</span></a>
-<a class="sourceLine" id="cb14-26" data-line-number="26"><span class="co"># Table 02: Intrinsic resistance in non-fermentative Gram-negative bacteria (no new changes)</span></a>
-<a class="sourceLine" id="cb14-27" data-line-number="27"><span class="co"># Table 03: Intrinsic resistance in other Gram-negative bacteria (no new changes)</span></a>
-<a class="sourceLine" id="cb14-28" data-line-number="28"><span class="co"># Table 04: Intrinsic resistance in Gram-positive bacteria (2,778 new changes)</span></a>
-<a class="sourceLine" id="cb14-29" data-line-number="29"><span class="co"># Table 08: Interpretive rules for B-lactam agents and Gram-positive cocci (no new changes)</span></a>
-<a class="sourceLine" id="cb14-30" data-line-number="30"><span class="co"># Table 09: Interpretive rules for B-lactam agents and Gram-negative rods (no new changes)</span></a>
-<a class="sourceLine" id="cb14-31" data-line-number="31"><span class="co"># Table 11: Interpretive rules for macrolides, lincosamides, and streptogramins (no new changes)</span></a>
-<a class="sourceLine" id="cb14-32" data-line-number="32"><span class="co"># Table 12: Interpretive rules for aminoglycosides (no new changes)</span></a>
-<a class="sourceLine" id="cb14-33" data-line-number="33"><span class="co"># Table 13: Interpretive rules for quinolones (no new changes)</span></a>
-<a class="sourceLine" id="cb14-34" data-line-number="34"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-35" data-line-number="35"><span class="co"># Other rules</span></a>
-<a class="sourceLine" id="cb14-36" data-line-number="36"><span class="co"># Non-EUCAST: amoxicillin/clav acid = S where ampicillin = S (2,245 new changes)</span></a>
-<a class="sourceLine" id="cb14-37" data-line-number="37"><span class="co"># Non-EUCAST: ampicillin = R where amoxicillin/clav acid = R (118 new changes)</span></a>
-<a class="sourceLine" id="cb14-38" data-line-number="38"><span class="co"># Non-EUCAST: piperacillin = R where piperacillin/tazobactam = R (no new changes)</span></a>
-<a class="sourceLine" id="cb14-39" data-line-number="39"><span class="co"># Non-EUCAST: piperacillin/tazobactam = S where piperacillin = S (no new changes)</span></a>
-<a class="sourceLine" id="cb14-40" data-line-number="40"><span class="co"># Non-EUCAST: trimethoprim = R where trimethoprim/sulfa = R (no new changes)</span></a>
-<a class="sourceLine" id="cb14-41" data-line-number="41"><span class="co"># Non-EUCAST: trimethoprim/sulfa = S where trimethoprim = S (no new changes)</span></a>
-<a class="sourceLine" id="cb14-42" data-line-number="42"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-43" data-line-number="43"><span class="co"># --------------------------------------------------------------------------</span></a>
-<a class="sourceLine" id="cb14-44" data-line-number="44"><span class="co"># EUCAST rules affected 6,581 out of 20,000 rows, making a total of 7,950 edits</span></a>
-<a class="sourceLine" id="cb14-45" data-line-number="45"><span class="co"># =&gt; added 0 test results</span></a>
-<a class="sourceLine" id="cb14-46" data-line-number="46"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-47" data-line-number="47"><span class="co"># =&gt; changed 7,950 test results</span></a>
-<a class="sourceLine" id="cb14-48" data-line-number="48"><span class="co">#    - 120 test results changed from S to I</span></a>
-<a class="sourceLine" id="cb14-49" data-line-number="49"><span class="co">#    - 4,812 test results changed from S to R</span></a>
-<a class="sourceLine" id="cb14-50" data-line-number="50"><span class="co">#    - 1,089 test results changed from I to S</span></a>
-<a class="sourceLine" id="cb14-51" data-line-number="51"><span class="co">#    - 317 test results changed from I to R</span></a>
-<a class="sourceLine" id="cb14-52" data-line-number="52"><span class="co">#    - 1,588 test results changed from R to S</span></a>
-<a class="sourceLine" id="cb14-53" data-line-number="53"><span class="co">#    - 24 test results changed from R to I</span></a>
-<a class="sourceLine" id="cb14-54" data-line-number="54"><span class="co"># --------------------------------------------------------------------------</span></a>
-<a class="sourceLine" id="cb14-55" data-line-number="55"><span class="co"># </span></a>
-<a class="sourceLine" id="cb14-56" data-line-number="56"><span class="co"># Use verbose = TRUE (on your original data) to get a data.frame with all specified edits instead.</span></a></code></pre></div>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" data-line-number="1">data &lt;-<span class="st"> </span><span class="kw"><a href="../reference/eucast_rules.html">eucast_rules</a></span>(data, <span class="dt">col_mo =</span> <span class="st">"bacteria"</span>)</a>
+<a class="sourceLine" id="cb15-2" data-line-number="2"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-3" data-line-number="3"><span class="co"># Rules by the European Committee on Antimicrobial Susceptibility Testing (EUCAST)</span></a>
+<a class="sourceLine" id="cb15-4" data-line-number="4"><span class="co"># http://eucast.org/</span></a>
+<a class="sourceLine" id="cb15-5" data-line-number="5"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-6" data-line-number="6"><span class="co"># EUCAST Clinical Breakpoints (v9.0, 2019)</span></a>
+<a class="sourceLine" id="cb15-7" data-line-number="7"><span class="co"># Aerococcus sanguinicola (no new changes)</span></a>
+<a class="sourceLine" id="cb15-8" data-line-number="8"><span class="co"># Aerococcus urinae (no new changes)</span></a>
+<a class="sourceLine" id="cb15-9" data-line-number="9"><span class="co"># Anaerobic Gram-negatives (no new changes)</span></a>
+<a class="sourceLine" id="cb15-10" data-line-number="10"><span class="co"># Anaerobic Gram-positives (no new changes)</span></a>
+<a class="sourceLine" id="cb15-11" data-line-number="11"><span class="co"># Campylobacter coli (no new changes)</span></a>
+<a class="sourceLine" id="cb15-12" data-line-number="12"><span class="co"># Campylobacter jejuni (no new changes)</span></a>
+<a class="sourceLine" id="cb15-13" data-line-number="13"><span class="co"># Enterobacteriales (Order) (no new changes)</span></a>
+<a class="sourceLine" id="cb15-14" data-line-number="14"><span class="co"># Enterococcus (no new changes)</span></a>
+<a class="sourceLine" id="cb15-15" data-line-number="15"><span class="co"># Haemophilus influenzae (no new changes)</span></a>
+<a class="sourceLine" id="cb15-16" data-line-number="16"><span class="co"># Kingella kingae (no new changes)</span></a>
+<a class="sourceLine" id="cb15-17" data-line-number="17"><span class="co"># Moraxella catarrhalis (no new changes)</span></a>
+<a class="sourceLine" id="cb15-18" data-line-number="18"><span class="co"># Pasteurella multocida (no new changes)</span></a>
+<a class="sourceLine" id="cb15-19" data-line-number="19"><span class="co"># Staphylococcus (no new changes)</span></a>
+<a class="sourceLine" id="cb15-20" data-line-number="20"><span class="co"># Streptococcus groups A, B, C, G (no new changes)</span></a>
+<a class="sourceLine" id="cb15-21" data-line-number="21"><span class="co"># Streptococcus pneumoniae (1,485 new changes)</span></a>
+<a class="sourceLine" id="cb15-22" data-line-number="22"><span class="co"># Viridans group streptococci (no new changes)</span></a>
+<a class="sourceLine" id="cb15-23" data-line-number="23"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-24" data-line-number="24"><span class="co"># EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes (v3.1, 2016)</span></a>
+<a class="sourceLine" id="cb15-25" data-line-number="25"><span class="co"># Table 01: Intrinsic resistance in Enterobacteriaceae (1,312 new changes)</span></a>
+<a class="sourceLine" id="cb15-26" data-line-number="26"><span class="co"># Table 02: Intrinsic resistance in non-fermentative Gram-negative bacteria (no new changes)</span></a>
+<a class="sourceLine" id="cb15-27" data-line-number="27"><span class="co"># Table 03: Intrinsic resistance in other Gram-negative bacteria (no new changes)</span></a>
+<a class="sourceLine" id="cb15-28" data-line-number="28"><span class="co"># Table 04: Intrinsic resistance in Gram-positive bacteria (2,746 new changes)</span></a>
+<a class="sourceLine" id="cb15-29" data-line-number="29"><span class="co"># Table 08: Interpretive rules for B-lactam agents and Gram-positive cocci (no new changes)</span></a>
+<a class="sourceLine" id="cb15-30" data-line-number="30"><span class="co"># Table 09: Interpretive rules for B-lactam agents and Gram-negative rods (no new changes)</span></a>
+<a class="sourceLine" id="cb15-31" data-line-number="31"><span class="co"># Table 11: Interpretive rules for macrolides, lincosamides, and streptogramins (no new changes)</span></a>
+<a class="sourceLine" id="cb15-32" data-line-number="32"><span class="co"># Table 12: Interpretive rules for aminoglycosides (no new changes)</span></a>
+<a class="sourceLine" id="cb15-33" data-line-number="33"><span class="co"># Table 13: Interpretive rules for quinolones (no new changes)</span></a>
+<a class="sourceLine" id="cb15-34" data-line-number="34"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-35" data-line-number="35"><span class="co"># Other rules</span></a>
+<a class="sourceLine" id="cb15-36" data-line-number="36"><span class="co"># Non-EUCAST: amoxicillin/clav acid = S where ampicillin = S (2,284 new changes)</span></a>
+<a class="sourceLine" id="cb15-37" data-line-number="37"><span class="co"># Non-EUCAST: ampicillin = R where amoxicillin/clav acid = R (116 new changes)</span></a>
+<a class="sourceLine" id="cb15-38" data-line-number="38"><span class="co"># Non-EUCAST: piperacillin = R where piperacillin/tazobactam = R (no new changes)</span></a>
+<a class="sourceLine" id="cb15-39" data-line-number="39"><span class="co"># Non-EUCAST: piperacillin/tazobactam = S where piperacillin = S (no new changes)</span></a>
+<a class="sourceLine" id="cb15-40" data-line-number="40"><span class="co"># Non-EUCAST: trimethoprim = R where trimethoprim/sulfa = R (no new changes)</span></a>
+<a class="sourceLine" id="cb15-41" data-line-number="41"><span class="co"># Non-EUCAST: trimethoprim/sulfa = S where trimethoprim = S (no new changes)</span></a>
+<a class="sourceLine" id="cb15-42" data-line-number="42"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-43" data-line-number="43"><span class="co"># --------------------------------------------------------------------------</span></a>
+<a class="sourceLine" id="cb15-44" data-line-number="44"><span class="co"># EUCAST rules affected 6,581 out of 20,000 rows, making a total of 7,943 edits</span></a>
+<a class="sourceLine" id="cb15-45" data-line-number="45"><span class="co"># =&gt; added 0 test results</span></a>
+<a class="sourceLine" id="cb15-46" data-line-number="46"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-47" data-line-number="47"><span class="co"># =&gt; changed 7,943 test results</span></a>
+<a class="sourceLine" id="cb15-48" data-line-number="48"><span class="co">#    - 100 test results changed from S to I</span></a>
+<a class="sourceLine" id="cb15-49" data-line-number="49"><span class="co">#    - 4,767 test results changed from S to R</span></a>
+<a class="sourceLine" id="cb15-50" data-line-number="50"><span class="co">#    - 1,140 test results changed from I to S</span></a>
+<a class="sourceLine" id="cb15-51" data-line-number="51"><span class="co">#    - 315 test results changed from I to R</span></a>
+<a class="sourceLine" id="cb15-52" data-line-number="52"><span class="co">#    - 1,602 test results changed from R to S</span></a>
+<a class="sourceLine" id="cb15-53" data-line-number="53"><span class="co">#    - 19 test results changed from R to I</span></a>
+<a class="sourceLine" id="cb15-54" data-line-number="54"><span class="co"># --------------------------------------------------------------------------</span></a>
+<a class="sourceLine" id="cb15-55" data-line-number="55"><span class="co"># </span></a>
+<a class="sourceLine" id="cb15-56" data-line-number="56"><span class="co"># Use verbose = TRUE (on your original data) to get a data.frame with all specified edits instead.</span></a></code></pre></div>
 </div>
 <div id="adding-new-variables" class="section level1">
 <h1 class="hasAnchor">
 <a href="#adding-new-variables" class="anchor"></a>Adding new variables</h1>
 <p>Now that we have the microbial ID, we can add some taxonomic properties:</p>
-<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb15-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">gramstain =</span> <span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(bacteria),</a>
-<a class="sourceLine" id="cb15-3" data-line-number="3">         <span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(bacteria),</a>
-<a class="sourceLine" id="cb15-4" data-line-number="4">         <span class="dt">species =</span> <span class="kw"><a href="../reference/mo_property.html">mo_species</a></span>(bacteria))</a></code></pre></div>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb16-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">gramstain =</span> <span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(bacteria),</a>
+<a class="sourceLine" id="cb16-3" data-line-number="3">         <span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(bacteria),</a>
+<a class="sourceLine" id="cb16-4" data-line-number="4">         <span class="dt">species =</span> <span class="kw"><a href="../reference/mo_property.html">mo_species</a></span>(bacteria))</a></code></pre></div>
 <div id="first-isolates" class="section level2">
 <h2 class="hasAnchor">
 <a href="#first-isolates" class="anchor"></a>First isolates</h2>
@@ -497,23 +492,23 @@
 <p><em>(…) When preparing a cumulative antibiogram to guide clinical decisions about empirical antimicrobial therapy of initial infections, <strong>only the first isolate of a given species per patient, per analysis period (eg, one year) should be included, irrespective of body site, antimicrobial susceptibility profile, or other phenotypical characteristics (eg, biotype)</strong>. The first isolate is easily identified, and cumulative antimicrobial susceptibility test data prepared using the first isolate are generally comparable to cumulative antimicrobial susceptibility test data calculated by other methods, providing duplicate isolates are excluded.</em> <br><a href="https://clsi.org/standards/products/microbiology/documents/m39/">M39-A4 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 4th Edition. CLSI, 2014. Chapter 6.4</a></p>
 </blockquote>
 <p>This <code>AMR</code> package includes this methodology with the <code><a href="../reference/first_isolate.html">first_isolate()</a></code> function. It adopts the episode of a year (can be changed by user) and it starts counting days after every selected isolate. This new variable can easily be added to our data:</p>
-<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb16-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">first =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(.))</a>
-<a class="sourceLine" id="cb16-3" data-line-number="3"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `bacteria` as input for `col_mo`.</span></a>
-<a class="sourceLine" id="cb16-4" data-line-number="4"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `date` as input for `col_date`.</span></a>
-<a class="sourceLine" id="cb16-5" data-line-number="5"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `patient_id` as input for `col_patient_id`.</span></a>
-<a class="sourceLine" id="cb16-6" data-line-number="6"><span class="co"># =&gt; Found 5,679 first isolates (28.4% of total)</span></a></code></pre></div>
-<p>So only 28.4% is suitable for resistance analysis! We can now filter on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code> function, also from the <code>dplyr</code> package:</p>
-<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb17-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span>(first <span class="op">==</span><span class="st"> </span><span class="ot">TRUE</span>)</a></code></pre></div>
-<p>For future use, the above two syntaxes can be shortened with the <code><a href="../reference/first_isolate.html">filter_first_isolate()</a></code> function:</p>
+<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb17-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">first =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(.))</a>
+<a class="sourceLine" id="cb17-3" data-line-number="3"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `bacteria` as input for `col_mo`.</span></a>
+<a class="sourceLine" id="cb17-4" data-line-number="4"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `date` as input for `col_date`.</span></a>
+<a class="sourceLine" id="cb17-5" data-line-number="5"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `patient_id` as input for `col_patient_id`.</span></a>
+<a class="sourceLine" id="cb17-6" data-line-number="6"><span class="co"># =&gt; Found 5,701 first isolates (28.5% of total)</span></a></code></pre></div>
+<p>So only 28.5% is suitable for resistance analysis! We can now filter on it with the <code><a href="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code> function, also from the <code>dplyr</code> package:</p>
 <div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb18-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>()</a></code></pre></div>
+<a class="sourceLine" id="cb18-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span>(first <span class="op">==</span><span class="st"> </span><span class="ot">TRUE</span>)</a></code></pre></div>
+<p>For future use, the above two syntaxes can be shortened with the <code><a href="../reference/first_isolate.html">filter_first_isolate()</a></code> function:</p>
+<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb19-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>()</a></code></pre></div>
 </div>
 <div id="first-weighted-isolates" class="section level2">
 <h2 class="hasAnchor">
 <a href="#first-weighted-isolates" class="anchor"></a>First <em>weighted</em> isolates</h2>
-<p>We made a slight twist to the CLSI algorithm, to take into account the antimicrobial susceptibility profile. Have a look at all isolates of patient B6, sorted on date:</p>
+<p>We made a slight twist to the CLSI algorithm, to take into account the antimicrobial susceptibility profile. Have a look at all isolates of patient S2, sorted on date:</p>
 <table class="table">
 <thead><tr class="header">
 <th align="center">isolate</th>
@@ -529,21 +524,21 @@
 <tbody>
 <tr class="odd">
 <td align="center">1</td>
-<td align="center">2010-02-26</td>
-<td align="center">B6</td>
+<td align="center">2010-03-05</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
 <td align="center">S</td>
-<td align="center">R</td>
+<td align="center">S</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">TRUE</td>
 </tr>
 <tr class="even">
 <td align="center">2</td>
-<td align="center">2010-05-20</td>
-<td align="center">B6</td>
+<td align="center">2010-03-09</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -551,21 +546,21 @@
 </tr>
 <tr class="odd">
 <td align="center">3</td>
-<td align="center">2010-05-28</td>
-<td align="center">B6</td>
+<td align="center">2010-08-25</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">R</td>
 <td align="center">R</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
 <td align="center">FALSE</td>
 </tr>
 <tr class="even">
 <td align="center">4</td>
-<td align="center">2010-06-27</td>
-<td align="center">B6</td>
+<td align="center">2010-09-20</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -573,8 +568,8 @@
 </tr>
 <tr class="odd">
 <td align="center">5</td>
-<td align="center">2010-09-06</td>
-<td align="center">B6</td>
+<td align="center">2010-10-11</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">R</td>
 <td align="center">S</td>
@@ -584,10 +579,10 @@
 </tr>
 <tr class="even">
 <td align="center">6</td>
-<td align="center">2010-10-16</td>
-<td align="center">B6</td>
+<td align="center">2011-02-11</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -595,8 +590,8 @@
 </tr>
 <tr class="odd">
 <td align="center">7</td>
-<td align="center">2010-10-20</td>
-<td align="center">B6</td>
+<td align="center">2011-02-24</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -606,32 +601,32 @@
 </tr>
 <tr class="even">
 <td align="center">8</td>
-<td align="center">2010-11-01</td>
-<td align="center">B6</td>
+<td align="center">2011-03-12</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">S</td>
 <td align="center">S</td>
-<td align="center">S</td>
 <td align="center">R</td>
-<td align="center">FALSE</td>
+<td align="center">S</td>
+<td align="center">TRUE</td>
 </tr>
 <tr class="odd">
 <td align="center">9</td>
-<td align="center">2010-11-14</td>
-<td align="center">B6</td>
+<td align="center">2011-04-21</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">S</td>
 <td align="center">S</td>
-<td align="center">S</td>
+<td align="center">R</td>
 <td align="center">S</td>
 <td align="center">FALSE</td>
 </tr>
 <tr class="even">
 <td align="center">10</td>
-<td align="center">2011-01-25</td>
-<td align="center">B6</td>
+<td align="center">2011-05-04</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -639,18 +634,18 @@
 </tr>
 </tbody>
 </table>
-<p>Only 1 isolates are marked as ‘first’ according to CLSI guideline. But when reviewing the antibiogram, it is obvious that some isolates are absolutely different strains and should be included too. This is why we weigh isolates, based on their antibiogram. The <code><a href="../reference/key_antibiotics.html">key_antibiotics()</a></code> function adds a vector with 18 key antibiotics: 6 broad spectrum ones, 6 small spectrum for Gram negatives and 6 small spectrum for Gram positives. These can be defined by the user.</p>
+<p>Only 2 isolates are marked as ‘first’ according to CLSI guideline. But when reviewing the antibiogram, it is obvious that some isolates are absolutely different strains and should be included too. This is why we weigh isolates, based on their antibiogram. The <code><a href="../reference/key_antibiotics.html">key_antibiotics()</a></code> function adds a vector with 18 key antibiotics: 6 broad spectrum ones, 6 small spectrum for Gram negatives and 6 small spectrum for Gram positives. These can be defined by the user.</p>
 <p>If a column exists with a name like ‘key(…)ab’ the <code><a href="../reference/first_isolate.html">first_isolate()</a></code> function will automatically use it and determine the first weighted isolates. Mind the NOTEs in below output:</p>
-<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb19-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">keyab =</span> <span class="kw"><a href="../reference/key_antibiotics.html">key_antibiotics</a></span>(.)) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb19-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">first_weighted =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(.))</a>
-<a class="sourceLine" id="cb19-4" data-line-number="4"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `bacteria` as input for `col_mo`.</span></a>
-<a class="sourceLine" id="cb19-5" data-line-number="5"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `bacteria` as input for `col_mo`.</span></a>
-<a class="sourceLine" id="cb19-6" data-line-number="6"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `date` as input for `col_date`.</span></a>
-<a class="sourceLine" id="cb19-7" data-line-number="7"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `patient_id` as input for `col_patient_id`.</span></a>
-<a class="sourceLine" id="cb19-8" data-line-number="8"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `keyab` as input for `col_keyantibiotics`. Use col_keyantibiotics = FALSE to prevent this.</span></a>
-<a class="sourceLine" id="cb19-9" data-line-number="9"><span class="co"># [Criterion] Inclusion based on key antibiotics, ignoring I.</span></a>
-<a class="sourceLine" id="cb19-10" data-line-number="10"><span class="co"># =&gt; Found 15,003 first weighted isolates (75.0% of total)</span></a></code></pre></div>
+<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" data-line-number="1">data &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb20-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">keyab =</span> <span class="kw"><a href="../reference/key_antibiotics.html">key_antibiotics</a></span>(.)) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb20-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">first_weighted =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(.))</a>
+<a class="sourceLine" id="cb20-4" data-line-number="4"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `bacteria` as input for `col_mo`.</span></a>
+<a class="sourceLine" id="cb20-5" data-line-number="5"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `bacteria` as input for `col_mo`.</span></a>
+<a class="sourceLine" id="cb20-6" data-line-number="6"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `date` as input for `col_date`.</span></a>
+<a class="sourceLine" id="cb20-7" data-line-number="7"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `patient_id` as input for `col_patient_id`.</span></a>
+<a class="sourceLine" id="cb20-8" data-line-number="8"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Using column `keyab` as input for `col_keyantibiotics`. Use col_keyantibiotics = FALSE to prevent this.</span></a>
+<a class="sourceLine" id="cb20-9" data-line-number="9"><span class="co"># [Criterion] Inclusion based on key antibiotics, ignoring I.</span></a>
+<a class="sourceLine" id="cb20-10" data-line-number="10"><span class="co"># =&gt; Found 15,136 first weighted isolates (75.7% of total)</span></a></code></pre></div>
 <table class="table">
 <thead><tr class="header">
 <th align="center">isolate</th>
@@ -667,80 +662,44 @@
 <tbody>
 <tr class="odd">
 <td align="center">1</td>
-<td align="center">2010-02-26</td>
-<td align="center">B6</td>
+<td align="center">2010-03-05</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
 <td align="center">S</td>
-<td align="center">R</td>
+<td align="center">S</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">TRUE</td>
 <td align="center">TRUE</td>
 </tr>
 <tr class="even">
 <td align="center">2</td>
-<td align="center">2010-05-20</td>
-<td align="center">B6</td>
+<td align="center">2010-03-09</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">FALSE</td>
-<td align="center">TRUE</td>
+<td align="center">FALSE</td>
 </tr>
 <tr class="odd">
 <td align="center">3</td>
-<td align="center">2010-05-28</td>
-<td align="center">B6</td>
+<td align="center">2010-08-25</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">R</td>
 <td align="center">R</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">FALSE</td>
 <td align="center">FALSE</td>
+<td align="center">TRUE</td>
 </tr>
 <tr class="even">
 <td align="center">4</td>
-<td align="center">2010-06-27</td>
-<td align="center">B6</td>
-<td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">FALSE</td>
-<td align="center">FALSE</td>
-</tr>
-<tr class="odd">
-<td align="center">5</td>
-<td align="center">2010-09-06</td>
-<td align="center">B6</td>
-<td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">FALSE</td>
-<td align="center">FALSE</td>
-</tr>
-<tr class="even">
-<td align="center">6</td>
-<td align="center">2010-10-16</td>
-<td align="center">B6</td>
-<td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">S</td>
-<td align="center">FALSE</td>
-<td align="center">FALSE</td>
-</tr>
-<tr class="odd">
-<td align="center">7</td>
-<td align="center">2010-10-20</td>
-<td align="center">B6</td>
+<td align="center">2010-09-20</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -749,36 +708,72 @@
 <td align="center">FALSE</td>
 <td align="center">TRUE</td>
 </tr>
+<tr class="odd">
+<td align="center">5</td>
+<td align="center">2010-10-11</td>
+<td align="center">S2</td>
+<td align="center">B_ESCHR_COL</td>
+<td align="center">R</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">FALSE</td>
+<td align="center">TRUE</td>
+</tr>
 <tr class="even">
-<td align="center">8</td>
-<td align="center">2010-11-01</td>
-<td align="center">B6</td>
+<td align="center">6</td>
+<td align="center">2011-02-11</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">FALSE</td>
 <td align="center">TRUE</td>
 </tr>
 <tr class="odd">
+<td align="center">7</td>
+<td align="center">2011-02-24</td>
+<td align="center">S2</td>
+<td align="center">B_ESCHR_COL</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">FALSE</td>
+<td align="center">FALSE</td>
+</tr>
+<tr class="even">
+<td align="center">8</td>
+<td align="center">2011-03-12</td>
+<td align="center">S2</td>
+<td align="center">B_ESCHR_COL</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">R</td>
+<td align="center">S</td>
+<td align="center">TRUE</td>
+<td align="center">TRUE</td>
+</tr>
+<tr class="odd">
 <td align="center">9</td>
-<td align="center">2010-11-14</td>
-<td align="center">B6</td>
+<td align="center">2011-04-21</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
 <td align="center">S</td>
 <td align="center">S</td>
-<td align="center">S</td>
+<td align="center">R</td>
 <td align="center">S</td>
 <td align="center">FALSE</td>
-<td align="center">TRUE</td>
+<td align="center">FALSE</td>
 </tr>
 <tr class="even">
 <td align="center">10</td>
-<td align="center">2011-01-25</td>
-<td align="center">B6</td>
+<td align="center">2011-05-04</td>
+<td align="center">S2</td>
 <td align="center">B_ESCHR_COL</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
@@ -787,16 +782,16 @@
 </tr>
 </tbody>
 </table>
-<p>Instead of 1, now 6 isolates are flagged. In total, 75% of all isolates are marked ‘first weighted’ - 46.6% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline.</p>
+<p>Instead of 2, now 7 isolates are flagged. In total, 75.7% of all isolates are marked ‘first weighted’ - 47.2% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline.</p>
 <p>As with <code><a href="../reference/first_isolate.html">filter_first_isolate()</a></code>, there’s a shortcut for this new algorithm too:</p>
-<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb20-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/first_isolate.html">filter_first_weighted_isolate</a></span>()</a></code></pre></div>
-<p>So we end up with 15,003 isolates for analysis.</p>
+<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb21-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/first_isolate.html">filter_first_weighted_isolate</a></span>()</a></code></pre></div>
+<p>So we end up with 15,136 isolates for analysis.</p>
 <p>We can remove unneeded columns:</p>
-<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb21-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(<span class="op">-</span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(first, keyab))</a></code></pre></div>
+<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" data-line-number="1">data_1st &lt;-<span class="st"> </span>data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb22-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(<span class="op">-</span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(first, keyab))</a></code></pre></div>
 <p>Now our data looks like:</p>
-<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/head">head</a></span>(data_1st)</a></code></pre></div>
+<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/head">head</a></span>(data_1st)</a></code></pre></div>
 <table class="table">
 <thead><tr class="header">
 <th></th>
@@ -817,30 +812,30 @@
 <tbody>
 <tr class="odd">
 <td>2</td>
-<td align="center">2017-12-18</td>
-<td align="center">Q8</td>
+<td align="center">2011-09-03</td>
+<td align="center">T7</td>
 <td align="center">Hospital B</td>
-<td align="center">B_STRPT_PNE</td>
-<td align="center">S</td>
+<td align="center">B_ESCHR_COL</td>
+<td align="center">I</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">R</td>
 <td align="center">F</td>
-<td align="center">Gram-positive</td>
-<td align="center">Streptococcus</td>
-<td align="center">pneumoniae</td>
+<td align="center">Gram-negative</td>
+<td align="center">Escherichia</td>
+<td align="center">coli</td>
 <td align="center">TRUE</td>
 </tr>
 <tr class="even">
 <td>3</td>
-<td align="center">2015-12-08</td>
-<td align="center">X5</td>
-<td align="center">Hospital B</td>
+<td align="center">2011-12-04</td>
+<td align="center">U5</td>
+<td align="center">Hospital A</td>
 <td align="center">B_STPHY_AUR</td>
-<td align="center">S</td>
+<td align="center">R</td>
 <td align="center">S</td>
 <td align="center">R</td>
-<td align="center">R</td>
+<td align="center">S</td>
 <td align="center">F</td>
 <td align="center">Gram-positive</td>
 <td align="center">Staphylococcus</td>
@@ -849,25 +844,25 @@
 </tr>
 <tr class="odd">
 <td>4</td>
-<td align="center">2011-12-08</td>
-<td align="center">X3</td>
-<td align="center">Hospital B</td>
-<td align="center">B_KLBSL_PNE</td>
-<td align="center">R</td>
+<td align="center">2014-06-26</td>
+<td align="center">O1</td>
+<td align="center">Hospital A</td>
+<td align="center">B_STPHY_AUR</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">F</td>
-<td align="center">Gram-negative</td>
-<td align="center">Klebsiella</td>
-<td align="center">pneumoniae</td>
+<td align="center">Gram-positive</td>
+<td align="center">Staphylococcus</td>
+<td align="center">aureus</td>
 <td align="center">TRUE</td>
 </tr>
 <tr class="even">
 <td>5</td>
-<td align="center">2011-01-02</td>
-<td align="center">E1</td>
-<td align="center">Hospital A</td>
+<td align="center">2012-08-04</td>
+<td align="center">G2</td>
+<td align="center">Hospital B</td>
 <td align="center">B_STRPT_PNE</td>
 <td align="center">R</td>
 <td align="center">R</td>
@@ -880,35 +875,35 @@
 <td align="center">TRUE</td>
 </tr>
 <tr class="odd">
-<td>6</td>
-<td align="center">2012-10-22</td>
-<td align="center">K1</td>
-<td align="center">Hospital C</td>
-<td align="center">B_STRPT_PNE</td>
+<td>7</td>
+<td align="center">2012-11-12</td>
+<td align="center">G6</td>
+<td align="center">Hospital B</td>
+<td align="center">B_ESCHR_COL</td>
+<td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
 <td align="center">S</td>
-<td align="center">R</td>
 <td align="center">M</td>
-<td align="center">Gram-positive</td>
-<td align="center">Streptococcus</td>
-<td align="center">pneumoniae</td>
+<td align="center">Gram-negative</td>
+<td align="center">Escherichia</td>
+<td align="center">coli</td>
 <td align="center">TRUE</td>
 </tr>
 <tr class="even">
-<td>7</td>
-<td align="center">2016-07-14</td>
-<td align="center">C5</td>
-<td align="center">Hospital D</td>
-<td align="center">B_STRPT_PNE</td>
-<td align="center">R</td>
-<td align="center">R</td>
+<td>8</td>
+<td align="center">2017-07-19</td>
+<td align="center">G4</td>
+<td align="center">Hospital C</td>
+<td align="center">B_STPHY_AUR</td>
+<td align="center">S</td>
+<td align="center">S</td>
+<td align="center">S</td>
 <td align="center">S</td>
-<td align="center">R</td>
 <td align="center">M</td>
 <td align="center">Gram-positive</td>
-<td align="center">Streptococcus</td>
-<td align="center">pneumoniae</td>
+<td align="center">Staphylococcus</td>
+<td align="center">aureus</td>
 <td align="center">TRUE</td>
 </tr>
 </tbody>
@@ -923,14 +918,14 @@
 <div id="dispersion-of-species" class="section level2">
 <h2 class="hasAnchor">
 <a href="#dispersion-of-species" class="anchor"></a>Dispersion of species</h2>
-<p>To just get an idea how the species are distributed, create a frequency table with our <code><a href="../reference/freq.html">freq()</a></code> function. We created the <code>genus</code> and <code>species</code> column earlier based on the microbial ID. With <code><a href="https://www.rdocumentation.org/packages/base/topics/paste">paste()</a></code>, we can concatenate them together.</p>
-<p>The <code><a href="../reference/freq.html">freq()</a></code> function can be used like the base R language was intended:</p>
-<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" data-line-number="1"><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/paste">paste</a></span>(data_1st<span class="op">$</span>genus, data_1st<span class="op">$</span>species))</a></code></pre></div>
+<p>To just get an idea how the species are distributed, create a frequency table with our <code><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq()</a></code> function. We created the <code>genus</code> and <code>species</code> column earlier based on the microbial ID. With <code><a href="https://www.rdocumentation.org/packages/base/topics/paste">paste()</a></code>, we can concatenate them together.</p>
+<p>The <code><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq()</a></code> function can be used like the base R language was intended:</p>
+<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/paste">paste</a></span>(data_1st<span class="op">$</span>genus, data_1st<span class="op">$</span>species))</a></code></pre></div>
 <p>Or can be used like the <code>dplyr</code> way, which is easier readable:</p>
-<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(genus, species)</a></code></pre></div>
-<p><strong>Frequency table of <code>genus</code> and <code>species</code> from <code>data_1st</code> (15,003 x 13)</strong></p>
-<p>Columns: 2<br>
-Length: 15,003 (of which NA: 0 = 0.00%)<br>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq</a></span>(genus, species)</a></code></pre></div>
+<p><strong>Frequency table</strong></p>
+<p>Class: character<br>
+Length: 15,136 (of which NA: 0 = 0.00%)<br>
 Unique: 4</p>
 <p>Shortest: 16<br>
 Longest: 24</p>
@@ -947,33 +942,33 @@ Longest: 24</p>
 <tr class="odd">
 <td align="left">1</td>
 <td align="left">Escherichia coli</td>
-<td align="right">7,251</td>
-<td align="right">48.3%</td>
-<td align="right">7,251</td>
-<td align="right">48.3%</td>
+<td align="right">7,458</td>
+<td align="right">49.3%</td>
+<td align="right">7,458</td>
+<td align="right">49.3%</td>
 </tr>
 <tr class="even">
 <td align="left">2</td>
 <td align="left">Staphylococcus aureus</td>
-<td align="right">3,834</td>
-<td align="right">25.6%</td>
-<td align="right">11,085</td>
-<td align="right">73.9%</td>
+<td align="right">3,739</td>
+<td align="right">24.7%</td>
+<td align="right">11,197</td>
+<td align="right">74.0%</td>
 </tr>
 <tr class="odd">
 <td align="left">3</td>
 <td align="left">Streptococcus pneumoniae</td>
-<td align="right">2,328</td>
-<td align="right">15.5%</td>
-<td align="right">13,413</td>
-<td align="right">89.4%</td>
+<td align="right">2,362</td>
+<td align="right">15.6%</td>
+<td align="right">13,559</td>
+<td align="right">89.6%</td>
 </tr>
 <tr class="even">
 <td align="left">4</td>
 <td align="left">Klebsiella pneumoniae</td>
-<td align="right">1,590</td>
-<td align="right">10.6%</td>
-<td align="right">15,003</td>
+<td align="right">1,577</td>
+<td align="right">10.4%</td>
+<td align="right">15,136</td>
 <td align="right">100.0%</td>
 </tr>
 </tbody>
@@ -983,12 +978,12 @@ Longest: 24</p>
 <h2 class="hasAnchor">
 <a href="#resistance-percentages" class="anchor"></a>Resistance percentages</h2>
 <p>The functions <code><a href="../reference/portion.html">portion_S()</a></code>, <code><a href="../reference/portion.html">portion_SI()</a></code>, <code><a href="../reference/portion.html">portion_I()</a></code>, <code><a href="../reference/portion.html">portion_IR()</a></code> and <code><a href="../reference/portion.html">portion_R()</a></code> can be used to determine the portion of a specific antimicrobial outcome. As per the EUCAST guideline of 2019, we calculate resistance as the portion of R (<code><a href="../reference/portion.html">portion_R()</a></code>) and susceptibility as the portion of S and I (<code><a href="../reference/portion.html">portion_SI()</a></code>). These functions can be used on their own:</p>
-<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_R</a></span>(AMX)</a>
-<a class="sourceLine" id="cb25-2" data-line-number="2"><span class="co"># [1] 0.4710391</span></a></code></pre></div>
+<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb26-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_R</a></span>(AMX)</a>
+<a class="sourceLine" id="cb26-2" data-line-number="2"><span class="co"># [1] 0.462936</span></a></code></pre></div>
 <p>Or can be used in conjuction with <code><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code>, both from the <code>dplyr</code> package:</p>
-<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb26-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb26-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb26-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="dt">amoxicillin =</span> <span class="kw"><a href="../reference/portion.html">portion_R</a></span>(AMX))</a></code></pre></div>
+<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb27-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb27-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="dt">amoxicillin =</span> <span class="kw"><a href="../reference/portion.html">portion_R</a></span>(AMX))</a></code></pre></div>
 <table class="table">
 <thead><tr class="header">
 <th align="center">hospital</th>
@@ -997,27 +992,27 @@ Longest: 24</p>
 <tbody>
 <tr class="odd">
 <td align="center">Hospital A</td>
-<td align="center">0.4698715</td>
+<td align="center">0.4701912</td>
 </tr>
 <tr class="even">
 <td align="center">Hospital B</td>
-<td align="center">0.4707917</td>
+<td align="center">0.4536024</td>
 </tr>
 <tr class="odd">
 <td align="center">Hospital C</td>
-<td align="center">0.4548753</td>
+<td align="center">0.4589011</td>
 </tr>
 <tr class="even">
 <td align="center">Hospital D</td>
-<td align="center">0.4847403</td>
+<td align="center">0.4714194</td>
 </tr>
 </tbody>
 </table>
 <p>Of course it would be very convenient to know the number of isolates responsible for the percentages. For that purpose the <code><a href="../reference/count.html">n_rsi()</a></code> can be used, which works exactly like <code><a href="https://dplyr.tidyverse.org/reference/n_distinct.html">n_distinct()</a></code> from the <code>dplyr</code> package. It counts all isolates available for every group (i.e. values S, I or R):</p>
-<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb27-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb27-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="dt">amoxicillin =</span> <span class="kw"><a href="../reference/portion.html">portion_R</a></span>(AMX),</a>
-<a class="sourceLine" id="cb27-4" data-line-number="4">            <span class="dt">available =</span> <span class="kw"><a href="../reference/count.html">n_rsi</a></span>(AMX))</a></code></pre></div>
+<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb28-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb28-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb28-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="dt">amoxicillin =</span> <span class="kw"><a href="../reference/portion.html">portion_R</a></span>(AMX),</a>
+<a class="sourceLine" id="cb28-4" data-line-number="4">            <span class="dt">available =</span> <span class="kw"><a href="../reference/count.html">n_rsi</a></span>(AMX))</a></code></pre></div>
 <table class="table">
 <thead><tr class="header">
 <th align="center">hospital</th>
@@ -1027,32 +1022,32 @@ Longest: 24</p>
 <tbody>
 <tr class="odd">
 <td align="center">Hospital A</td>
-<td align="center">0.4698715</td>
-<td align="center">4514</td>
+<td align="center">0.4701912</td>
+<td align="center">4445</td>
 </tr>
 <tr class="even">
 <td align="center">Hospital B</td>
-<td align="center">0.4707917</td>
-<td align="center">5204</td>
+<td align="center">0.4536024</td>
+<td align="center">5302</td>
 </tr>
 <tr class="odd">
 <td align="center">Hospital C</td>
-<td align="center">0.4548753</td>
-<td align="center">2205</td>
+<td align="center">0.4589011</td>
+<td align="center">2275</td>
 </tr>
 <tr class="even">
 <td align="center">Hospital D</td>
-<td align="center">0.4847403</td>
-<td align="center">3080</td>
+<td align="center">0.4714194</td>
+<td align="center">3114</td>
 </tr>
 </tbody>
 </table>
 <p>These functions can also be used to get the portion of multiple antibiotics, to calculate empiric susceptibility of combination therapies very easily:</p>
-<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb28-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb28-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb28-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="dt">amoxiclav =</span> <span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC),</a>
-<a class="sourceLine" id="cb28-4" data-line-number="4">            <span class="dt">gentamicin =</span> <span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(GEN),</a>
-<a class="sourceLine" id="cb28-5" data-line-number="5">            <span class="dt">amoxiclav_genta =</span> <span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC, GEN))</a></code></pre></div>
+<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb29-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb29-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="dt">amoxiclav =</span> <span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC),</a>
+<a class="sourceLine" id="cb29-4" data-line-number="4">            <span class="dt">gentamicin =</span> <span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(GEN),</a>
+<a class="sourceLine" id="cb29-5" data-line-number="5">            <span class="dt">amoxiclav_genta =</span> <span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC, GEN))</a></code></pre></div>
 <table class="table">
 <thead><tr class="header">
 <th align="center">genus</th>
@@ -1063,94 +1058,94 @@ Longest: 24</p>
 <tbody>
 <tr class="odd">
 <td align="center">Escherichia</td>
-<td align="center">0.9233209</td>
-<td align="center">0.8939457</td>
-<td align="center">0.9942077</td>
+<td align="center">0.9249128</td>
+<td align="center">0.8924645</td>
+<td align="center">0.9945025</td>
 </tr>
 <tr class="even">
 <td align="center">Klebsiella</td>
-<td align="center">0.8314465</td>
-<td align="center">0.9150943</td>
-<td align="center">0.9874214</td>
+<td align="center">0.8338618</td>
+<td align="center">0.8928345</td>
+<td align="center">0.9822448</td>
 </tr>
 <tr class="odd">
 <td align="center">Staphylococcus</td>
-<td align="center">0.9238393</td>
-<td align="center">0.9160146</td>
-<td align="center">0.9921753</td>
+<td align="center">0.9152180</td>
+<td align="center">0.9184274</td>
+<td align="center">0.9946510</td>
 </tr>
 <tr class="even">
 <td align="center">Streptococcus</td>
-<td align="center">0.6121134</td>
+<td align="center">0.6147333</td>
 <td align="center">0.0000000</td>
-<td align="center">0.6121134</td>
+<td align="center">0.6147333</td>
 </tr>
 </tbody>
 </table>
 <p>To make a transition to the next part, let’s see how this difference could be plotted:</p>
-<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb29-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb29-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="st">"1. Amoxi/clav"</span> =<span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC),</a>
-<a class="sourceLine" id="cb29-4" data-line-number="4">            <span class="st">"2. Gentamicin"</span> =<span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(GEN),</a>
-<a class="sourceLine" id="cb29-5" data-line-number="5">            <span class="st">"3. Amoxi/clav + genta"</span> =<span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC, GEN)) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb29-6" data-line-number="6"><span class="st">  </span>tidyr<span class="op">::</span><span class="kw"><a href="https://tidyr.tidyverse.org/reference/gather.html">gather</a></span>(<span class="st">"antibiotic"</span>, <span class="st">"S"</span>, <span class="op">-</span>genus) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb29-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(<span class="kw"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span>(<span class="dt">x =</span> genus,</a>
-<a class="sourceLine" id="cb29-8" data-line-number="8">             <span class="dt">y =</span> S,</a>
-<a class="sourceLine" id="cb29-9" data-line-number="9">             <span class="dt">fill =</span> antibiotic)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb29-10" data-line-number="10"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">geom_col</a></span>(<span class="dt">position =</span> <span class="st">"dodge2"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb30-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb30-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb30-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise</a></span>(<span class="st">"1. Amoxi/clav"</span> =<span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC),</a>
+<a class="sourceLine" id="cb30-4" data-line-number="4">            <span class="st">"2. Gentamicin"</span> =<span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(GEN),</a>
+<a class="sourceLine" id="cb30-5" data-line-number="5">            <span class="st">"3. Amoxi/clav + genta"</span> =<span class="st"> </span><span class="kw"><a href="../reference/portion.html">portion_SI</a></span>(AMC, GEN)) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb30-6" data-line-number="6"><span class="st">  </span>tidyr<span class="op">::</span><span class="kw"><a href="https://tidyr.tidyverse.org/reference/gather.html">gather</a></span>(<span class="st">"antibiotic"</span>, <span class="st">"S"</span>, <span class="op">-</span>genus) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb30-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(<span class="kw"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span>(<span class="dt">x =</span> genus,</a>
+<a class="sourceLine" id="cb30-8" data-line-number="8">             <span class="dt">y =</span> S,</a>
+<a class="sourceLine" id="cb30-9" data-line-number="9">             <span class="dt">fill =</span> antibiotic)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb30-10" data-line-number="10"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">geom_col</a></span>(<span class="dt">position =</span> <span class="st">"dodge2"</span>)</a></code></pre></div>
 <p><img src="AMR_files/figure-html/plot%201-1.png" width="720"></p>
 </div>
 <div id="plots" class="section level2">
 <h2 class="hasAnchor">
 <a href="#plots" class="anchor"></a>Plots</h2>
 <p>To show results in plots, most R users would nowadays use the <code>ggplot2</code> package. This package lets you create plots in layers. You can read more about it <a href="https://ggplot2.tidyverse.org/">on their website</a>. A quick example would look like these syntaxes:</p>
-<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb30-1" data-line-number="1"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(<span class="dt">data =</span> a_data_set,</a>
-<a class="sourceLine" id="cb30-2" data-line-number="2">       <span class="dt">mapping =</span> <span class="kw"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span>(<span class="dt">x =</span> year,</a>
-<a class="sourceLine" id="cb30-3" data-line-number="3">                     <span class="dt">y =</span> value)) <span class="op">+</span></a>
-<a class="sourceLine" id="cb30-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">geom_col</a></span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb30-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/labs.html">labs</a></span>(<span class="dt">title =</span> <span class="st">"A title"</span>,</a>
-<a class="sourceLine" id="cb30-6" data-line-number="6">       <span class="dt">subtitle =</span> <span class="st">"A subtitle"</span>,</a>
-<a class="sourceLine" id="cb30-7" data-line-number="7">       <span class="dt">x =</span> <span class="st">"My X axis"</span>,</a>
-<a class="sourceLine" id="cb30-8" data-line-number="8">       <span class="dt">y =</span> <span class="st">"My Y axis"</span>)</a>
-<a class="sourceLine" id="cb30-9" data-line-number="9"></a>
-<a class="sourceLine" id="cb30-10" data-line-number="10"><span class="co"># or as short as:</span></a>
-<a class="sourceLine" id="cb30-11" data-line-number="11"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(a_data_set) <span class="op">+</span></a>
-<a class="sourceLine" id="cb30-12" data-line-number="12"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">geom_bar</a></span>(<span class="kw"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span>(year))</a></code></pre></div>
+<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" data-line-number="1"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(<span class="dt">data =</span> a_data_set,</a>
+<a class="sourceLine" id="cb31-2" data-line-number="2">       <span class="dt">mapping =</span> <span class="kw"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span>(<span class="dt">x =</span> year,</a>
+<a class="sourceLine" id="cb31-3" data-line-number="3">                     <span class="dt">y =</span> value)) <span class="op">+</span></a>
+<a class="sourceLine" id="cb31-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">geom_col</a></span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb31-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/labs.html">labs</a></span>(<span class="dt">title =</span> <span class="st">"A title"</span>,</a>
+<a class="sourceLine" id="cb31-6" data-line-number="6">       <span class="dt">subtitle =</span> <span class="st">"A subtitle"</span>,</a>
+<a class="sourceLine" id="cb31-7" data-line-number="7">       <span class="dt">x =</span> <span class="st">"My X axis"</span>,</a>
+<a class="sourceLine" id="cb31-8" data-line-number="8">       <span class="dt">y =</span> <span class="st">"My Y axis"</span>)</a>
+<a class="sourceLine" id="cb31-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb31-10" data-line-number="10"><span class="co"># or as short as:</span></a>
+<a class="sourceLine" id="cb31-11" data-line-number="11"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(a_data_set) <span class="op">+</span></a>
+<a class="sourceLine" id="cb31-12" data-line-number="12"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">geom_bar</a></span>(<span class="kw"><a href="https://ggplot2.tidyverse.org/reference/aes.html">aes</a></span>(year))</a></code></pre></div>
 <p>The <code>AMR</code> package contains functions to extend this <code>ggplot2</code> package, for example <code><a href="../reference/ggplot_rsi.html">geom_rsi()</a></code>. It automatically transforms data with <code><a href="../reference/count.html">count_df()</a></code> or <code><a href="../reference/portion.html">portion_df()</a></code> and show results in stacked bars. Its simplest and shortest example:</p>
-<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" data-line-number="1"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(data_1st) <span class="op">+</span></a>
-<a class="sourceLine" id="cb31-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">geom_rsi</a></span>(<span class="dt">translate_ab =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb32-1" data-line-number="1"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(data_1st) <span class="op">+</span></a>
+<a class="sourceLine" id="cb32-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">geom_rsi</a></span>(<span class="dt">translate_ab =</span> <span class="ot">FALSE</span>)</a></code></pre></div>
 <p><img src="AMR_files/figure-html/plot%203-1.png" width="720"></p>
 <p>Omit the <code>translate_ab = FALSE</code> to have the antibiotic codes (AMX, AMC, CIP, GEN) translated to official WHO names (amoxicillin, amoxicillin/clavulanic acid, ciprofloxacin, gentamicin).</p>
 <p>If we group on e.g. the <code>genus</code> column and add some additional functions from our package, we can create this:</p>
-<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb32-1" data-line-number="1"><span class="co"># group the data on `genus`</span></a>
-<a class="sourceLine" id="cb32-2" data-line-number="2"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(data_1st <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus)) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb32-3" data-line-number="3"><span class="st">  </span><span class="co"># create bars with genus on x axis</span></a>
-<a class="sourceLine" id="cb32-4" data-line-number="4"><span class="st">  </span><span class="co"># it looks for variables with class `rsi`,</span></a>
-<a class="sourceLine" id="cb32-5" data-line-number="5"><span class="st">  </span><span class="co"># of which we have 4 (earlier created with `as.rsi`)</span></a>
-<a class="sourceLine" id="cb32-6" data-line-number="6"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">geom_rsi</a></span>(<span class="dt">x =</span> <span class="st">"genus"</span>) <span class="op">+</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb32-7" data-line-number="7"><span class="st">  </span><span class="co"># split plots on antibiotic</span></a>
-<a class="sourceLine" id="cb32-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">facet_rsi</a></span>(<span class="dt">facet =</span> <span class="st">"antibiotic"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb32-9" data-line-number="9"><span class="st">  </span><span class="co"># make R red, I yellow and S green</span></a>
-<a class="sourceLine" id="cb32-10" data-line-number="10"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">scale_rsi_colours</a></span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb32-11" data-line-number="11"><span class="st">  </span><span class="co"># show percentages on y axis</span></a>
-<a class="sourceLine" id="cb32-12" data-line-number="12"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">scale_y_percent</a></span>(<span class="dt">breaks =</span> <span class="dv">0</span><span class="op">:</span><span class="dv">4</span> <span class="op">*</span><span class="st"> </span><span class="dv">25</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb32-13" data-line-number="13"><span class="st">  </span><span class="co"># turn 90 degrees, to make it bars instead of columns</span></a>
-<a class="sourceLine" id="cb32-14" data-line-number="14"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/coord_flip.html">coord_flip</a></span>() <span class="op">+</span></a>
-<a class="sourceLine" id="cb32-15" data-line-number="15"><span class="st">  </span><span class="co"># add labels</span></a>
-<a class="sourceLine" id="cb32-16" data-line-number="16"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/labs.html">labs</a></span>(<span class="dt">title =</span> <span class="st">"Resistance per genus and antibiotic"</span>, </a>
-<a class="sourceLine" id="cb32-17" data-line-number="17">       <span class="dt">subtitle =</span> <span class="st">"(this is fake data)"</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb32-18" data-line-number="18"><span class="st">  </span><span class="co"># and print genus in italic to follow our convention</span></a>
-<a class="sourceLine" id="cb32-19" data-line-number="19"><span class="st">  </span><span class="co"># (is now y axis because we turned the plot)</span></a>
-<a class="sourceLine" id="cb32-20" data-line-number="20"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/theme.html">theme</a></span>(<span class="dt">axis.text.y =</span> <span class="kw"><a href="https://ggplot2.tidyverse.org/reference/element.html">element_text</a></span>(<span class="dt">face =</span> <span class="st">"italic"</span>))</a></code></pre></div>
+<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" data-line-number="1"><span class="co"># group the data on `genus`</span></a>
+<a class="sourceLine" id="cb33-2" data-line-number="2"><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html">ggplot</a></span>(data_1st <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus)) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb33-3" data-line-number="3"><span class="st">  </span><span class="co"># create bars with genus on x axis</span></a>
+<a class="sourceLine" id="cb33-4" data-line-number="4"><span class="st">  </span><span class="co"># it looks for variables with class `rsi`,</span></a>
+<a class="sourceLine" id="cb33-5" data-line-number="5"><span class="st">  </span><span class="co"># of which we have 4 (earlier created with `as.rsi`)</span></a>
+<a class="sourceLine" id="cb33-6" data-line-number="6"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">geom_rsi</a></span>(<span class="dt">x =</span> <span class="st">"genus"</span>) <span class="op">+</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb33-7" data-line-number="7"><span class="st">  </span><span class="co"># split plots on antibiotic</span></a>
+<a class="sourceLine" id="cb33-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">facet_rsi</a></span>(<span class="dt">facet =</span> <span class="st">"antibiotic"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb33-9" data-line-number="9"><span class="st">  </span><span class="co"># make R red, I yellow and S green</span></a>
+<a class="sourceLine" id="cb33-10" data-line-number="10"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">scale_rsi_colours</a></span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb33-11" data-line-number="11"><span class="st">  </span><span class="co"># show percentages on y axis</span></a>
+<a class="sourceLine" id="cb33-12" data-line-number="12"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">scale_y_percent</a></span>(<span class="dt">breaks =</span> <span class="dv">0</span><span class="op">:</span><span class="dv">4</span> <span class="op">*</span><span class="st"> </span><span class="dv">25</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb33-13" data-line-number="13"><span class="st">  </span><span class="co"># turn 90 degrees, to make it bars instead of columns</span></a>
+<a class="sourceLine" id="cb33-14" data-line-number="14"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/coord_flip.html">coord_flip</a></span>() <span class="op">+</span></a>
+<a class="sourceLine" id="cb33-15" data-line-number="15"><span class="st">  </span><span class="co"># add labels</span></a>
+<a class="sourceLine" id="cb33-16" data-line-number="16"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/labs.html">labs</a></span>(<span class="dt">title =</span> <span class="st">"Resistance per genus and antibiotic"</span>, </a>
+<a class="sourceLine" id="cb33-17" data-line-number="17">       <span class="dt">subtitle =</span> <span class="st">"(this is fake data)"</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb33-18" data-line-number="18"><span class="st">  </span><span class="co"># and print genus in italic to follow our convention</span></a>
+<a class="sourceLine" id="cb33-19" data-line-number="19"><span class="st">  </span><span class="co"># (is now y axis because we turned the plot)</span></a>
+<a class="sourceLine" id="cb33-20" data-line-number="20"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/theme.html">theme</a></span>(<span class="dt">axis.text.y =</span> <span class="kw"><a href="https://ggplot2.tidyverse.org/reference/element.html">element_text</a></span>(<span class="dt">face =</span> <span class="st">"italic"</span>))</a></code></pre></div>
 <p><img src="AMR_files/figure-html/plot%204-1.png" width="720"></p>
 <p>To simplify this, we also created the <code><a href="../reference/ggplot_rsi.html">ggplot_rsi()</a></code> function, which combines almost all above functions:</p>
-<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb33-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb33-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">ggplot_rsi</a></span>(<span class="dt">x =</span> <span class="st">"genus"</span>,</a>
-<a class="sourceLine" id="cb33-4" data-line-number="4">             <span class="dt">facet =</span> <span class="st">"antibiotic"</span>,</a>
-<a class="sourceLine" id="cb33-5" data-line-number="5">             <span class="dt">breaks =</span> <span class="dv">0</span><span class="op">:</span><span class="dv">4</span> <span class="op">*</span><span class="st"> </span><span class="dv">25</span>,</a>
-<a class="sourceLine" id="cb33-6" data-line-number="6">             <span class="dt">datalabels =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
-<a class="sourceLine" id="cb33-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/coord_flip.html">coord_flip</a></span>()</a></code></pre></div>
+<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb34-1" data-line-number="1">data_1st <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb34-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(genus) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb34-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="../reference/ggplot_rsi.html">ggplot_rsi</a></span>(<span class="dt">x =</span> <span class="st">"genus"</span>,</a>
+<a class="sourceLine" id="cb34-4" data-line-number="4">             <span class="dt">facet =</span> <span class="st">"antibiotic"</span>,</a>
+<a class="sourceLine" id="cb34-5" data-line-number="5">             <span class="dt">breaks =</span> <span class="dv">0</span><span class="op">:</span><span class="dv">4</span> <span class="op">*</span><span class="st"> </span><span class="dv">25</span>,</a>
+<a class="sourceLine" id="cb34-6" data-line-number="6">             <span class="dt">datalabels =</span> <span class="ot">FALSE</span>) <span class="op">+</span></a>
+<a class="sourceLine" id="cb34-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="https://ggplot2.tidyverse.org/reference/coord_flip.html">coord_flip</a></span>()</a></code></pre></div>
 <p><img src="AMR_files/figure-html/plot%205-1.png" width="720"></p>
 </div>
 <div id="independence-test" class="section level2">
@@ -1158,33 +1153,33 @@ Longest: 24</p>
 <a href="#independence-test" class="anchor"></a>Independence test</h2>
 <p>The next example uses the included <code>septic_patients</code>, which is an anonymised data set containing 2,000 microbial blood culture isolates with their full antibiograms found in septic patients in 4 different hospitals in the Netherlands, between 2001 and 2017. It is true, genuine data. This <code>data.frame</code> can be used to practice AMR analysis.</p>
 <p>We will compare the resistance to fosfomycin (column <code>FOS</code>) in hospital A and D. The input for the <code><a href="https://www.rdocumentation.org/packages/stats/topics/fisher.test">fisher.test()</a></code> can be retrieved with a transformation like this:</p>
-<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb34-1" data-line-number="1">check_FOS &lt;-<span class="st"> </span>septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb34-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span>(hospital_id <span class="op">%in%</span><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"A"</span>, <span class="st">"D"</span>)) <span class="op">%&gt;%</span><span class="st"> </span><span class="co"># filter on only hospitals A and D</span></a>
-<a class="sourceLine" id="cb34-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(hospital_id, FOS) <span class="op">%&gt;%</span><span class="st">             </span><span class="co"># select the hospitals and fosfomycin</span></a>
-<a class="sourceLine" id="cb34-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st">                </span><span class="co"># group on the hospitals</span></a>
-<a class="sourceLine" id="cb34-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="../reference/count.html">count_df</a></span>(<span class="dt">combine_SI =</span> <span class="ot">TRUE</span>) <span class="op">%&gt;%</span><span class="st">          </span><span class="co"># count all isolates per group (hospital_id)</span></a>
-<a class="sourceLine" id="cb34-6" data-line-number="6"><span class="st">  </span>tidyr<span class="op">::</span><span class="kw"><a href="https://tidyr.tidyverse.org/reference/spread.html">spread</a></span>(hospital_id, value) <span class="op">%&gt;%</span><span class="st">    </span><span class="co"># transform output so A and D are columns</span></a>
-<a class="sourceLine" id="cb34-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(A, D) <span class="op">%&gt;%</span><span class="st">                         </span><span class="co"># and select these only</span></a>
-<a class="sourceLine" id="cb34-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/matrix">as.matrix</a></span>()                              <span class="co"># transform to good old matrix for fisher.test()</span></a>
-<a class="sourceLine" id="cb34-9" data-line-number="9"></a>
-<a class="sourceLine" id="cb34-10" data-line-number="10">check_FOS</a>
-<a class="sourceLine" id="cb34-11" data-line-number="11"><span class="co">#       A  D</span></a>
-<a class="sourceLine" id="cb34-12" data-line-number="12"><span class="co"># [1,] 25 77</span></a>
-<a class="sourceLine" id="cb34-13" data-line-number="13"><span class="co"># [2,] 24 33</span></a></code></pre></div>
+<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb35-1" data-line-number="1">check_FOS &lt;-<span class="st"> </span>septic_patients <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb35-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span>(hospital_id <span class="op">%in%</span><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"A"</span>, <span class="st">"D"</span>)) <span class="op">%&gt;%</span><span class="st"> </span><span class="co"># filter on only hospitals A and D</span></a>
+<a class="sourceLine" id="cb35-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(hospital_id, FOS) <span class="op">%&gt;%</span><span class="st">             </span><span class="co"># select the hospitals and fosfomycin</span></a>
+<a class="sourceLine" id="cb35-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st">                </span><span class="co"># group on the hospitals</span></a>
+<a class="sourceLine" id="cb35-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="../reference/count.html">count_df</a></span>(<span class="dt">combine_SI =</span> <span class="ot">TRUE</span>) <span class="op">%&gt;%</span><span class="st">          </span><span class="co"># count all isolates per group (hospital_id)</span></a>
+<a class="sourceLine" id="cb35-6" data-line-number="6"><span class="st">  </span>tidyr<span class="op">::</span><span class="kw"><a href="https://tidyr.tidyverse.org/reference/spread.html">spread</a></span>(hospital_id, value) <span class="op">%&gt;%</span><span class="st">    </span><span class="co"># transform output so A and D are columns</span></a>
+<a class="sourceLine" id="cb35-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(A, D) <span class="op">%&gt;%</span><span class="st">                         </span><span class="co"># and select these only</span></a>
+<a class="sourceLine" id="cb35-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/matrix">as.matrix</a></span>()                              <span class="co"># transform to good old matrix for fisher.test()</span></a>
+<a class="sourceLine" id="cb35-9" data-line-number="9"></a>
+<a class="sourceLine" id="cb35-10" data-line-number="10">check_FOS</a>
+<a class="sourceLine" id="cb35-11" data-line-number="11"><span class="co">#       A  D</span></a>
+<a class="sourceLine" id="cb35-12" data-line-number="12"><span class="co"># [1,] 25 77</span></a>
+<a class="sourceLine" id="cb35-13" data-line-number="13"><span class="co"># [2,] 24 33</span></a></code></pre></div>
 <p>We can apply the test now with:</p>
-<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb35-1" data-line-number="1"><span class="co"># do Fisher's Exact Test</span></a>
-<a class="sourceLine" id="cb35-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/stats/topics/fisher.test">fisher.test</a></span>(check_FOS)                            </a>
-<a class="sourceLine" id="cb35-3" data-line-number="3"><span class="co"># </span></a>
-<a class="sourceLine" id="cb35-4" data-line-number="4"><span class="co">#   Fisher's Exact Test for Count Data</span></a>
-<a class="sourceLine" id="cb35-5" data-line-number="5"><span class="co"># </span></a>
-<a class="sourceLine" id="cb35-6" data-line-number="6"><span class="co"># data:  check_FOS</span></a>
-<a class="sourceLine" id="cb35-7" data-line-number="7"><span class="co"># p-value = 0.03104</span></a>
-<a class="sourceLine" id="cb35-8" data-line-number="8"><span class="co"># alternative hypothesis: true odds ratio is not equal to 1</span></a>
-<a class="sourceLine" id="cb35-9" data-line-number="9"><span class="co"># 95 percent confidence interval:</span></a>
-<a class="sourceLine" id="cb35-10" data-line-number="10"><span class="co">#  0.2111489 0.9485124</span></a>
-<a class="sourceLine" id="cb35-11" data-line-number="11"><span class="co"># sample estimates:</span></a>
-<a class="sourceLine" id="cb35-12" data-line-number="12"><span class="co"># odds ratio </span></a>
-<a class="sourceLine" id="cb35-13" data-line-number="13"><span class="co">#  0.4488318</span></a></code></pre></div>
+<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb36-1" data-line-number="1"><span class="co"># do Fisher's Exact Test</span></a>
+<a class="sourceLine" id="cb36-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/stats/topics/fisher.test">fisher.test</a></span>(check_FOS)                            </a>
+<a class="sourceLine" id="cb36-3" data-line-number="3"><span class="co"># </span></a>
+<a class="sourceLine" id="cb36-4" data-line-number="4"><span class="co">#   Fisher's Exact Test for Count Data</span></a>
+<a class="sourceLine" id="cb36-5" data-line-number="5"><span class="co"># </span></a>
+<a class="sourceLine" id="cb36-6" data-line-number="6"><span class="co"># data:  check_FOS</span></a>
+<a class="sourceLine" id="cb36-7" data-line-number="7"><span class="co"># p-value = 0.03104</span></a>
+<a class="sourceLine" id="cb36-8" data-line-number="8"><span class="co"># alternative hypothesis: true odds ratio is not equal to 1</span></a>
+<a class="sourceLine" id="cb36-9" data-line-number="9"><span class="co"># 95 percent confidence interval:</span></a>
+<a class="sourceLine" id="cb36-10" data-line-number="10"><span class="co">#  0.2111489 0.9485124</span></a>
+<a class="sourceLine" id="cb36-11" data-line-number="11"><span class="co"># sample estimates:</span></a>
+<a class="sourceLine" id="cb36-12" data-line-number="12"><span class="co"># odds ratio </span></a>
+<a class="sourceLine" id="cb36-13" data-line-number="13"><span class="co">#  0.4488318</span></a></code></pre></div>
 <p>As can be seen, the p value is 0.031, which means that the fosfomycin resistances found in hospital A and D are really different.</p>
 </div>
 </div>
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diff --git a/docs/articles/EUCAST.html b/docs/articles/EUCAST.html
index 087c2f29..a9d2dded 100644
--- a/docs/articles/EUCAST.html
+++ b/docs/articles/EUCAST.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>How to apply EUCAST rules</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>EUCAST.Rmd</code></div>
diff --git a/docs/articles/MDR.html b/docs/articles/MDR.html
index aaebb3d6..968a23dc 100644
--- a/docs/articles/MDR.html
+++ b/docs/articles/MDR.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>How to determine multi-drug resistance (MDR)</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>MDR.Rmd</code></div>
@@ -235,18 +228,18 @@
 <p>The data set looks like this now:</p>
 <div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/head">head</a></span>(my_TB_data)</a>
 <a class="sourceLine" id="cb3-2" data-line-number="2"><span class="co">#   rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin</span></a>
-<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="co"># 1          R         S            S          R            S            R</span></a>
-<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="co"># 2          R         S            R          S            S            S</span></a>
-<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="co"># 3          R         R            R          R            S            R</span></a>
-<a class="sourceLine" id="cb3-6" data-line-number="6"><span class="co"># 4          S         S            R          S            R            S</span></a>
-<a class="sourceLine" id="cb3-7" data-line-number="7"><span class="co"># 5          R         R            S          I            S            S</span></a>
-<a class="sourceLine" id="cb3-8" data-line-number="8"><span class="co"># 6          S         S            R          R            R            S</span></a>
+<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="co"># 1          S         S            S          R            S            S</span></a>
+<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="co"># 2          R         S            R          R            I            R</span></a>
+<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="co"># 3          S         R            R          R            I            R</span></a>
+<a class="sourceLine" id="cb3-6" data-line-number="6"><span class="co"># 4          S         S            R          I            I            R</span></a>
+<a class="sourceLine" id="cb3-7" data-line-number="7"><span class="co"># 5          R         S            R          S            S            R</span></a>
+<a class="sourceLine" id="cb3-8" data-line-number="8"><span class="co"># 6          R         S            R          R            S            R</span></a>
 <a class="sourceLine" id="cb3-9" data-line-number="9"><span class="co">#   kanamycin</span></a>
-<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co"># 1         S</span></a>
+<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co"># 1         I</span></a>
 <a class="sourceLine" id="cb3-11" data-line-number="11"><span class="co"># 2         S</span></a>
-<a class="sourceLine" id="cb3-12" data-line-number="12"><span class="co"># 3         S</span></a>
-<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co"># 4         R</span></a>
-<a class="sourceLine" id="cb3-14" data-line-number="14"><span class="co"># 5         R</span></a>
+<a class="sourceLine" id="cb3-12" data-line-number="12"><span class="co"># 3         R</span></a>
+<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co"># 4         S</span></a>
+<a class="sourceLine" id="cb3-14" data-line-number="14"><span class="co"># 5         S</span></a>
 <a class="sourceLine" id="cb3-15" data-line-number="15"><span class="co"># 6         S</span></a></code></pre></div>
 <p>We can now add the interpretation of MDR-TB to our data set:</p>
 <div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1">my_TB_data<span class="op">$</span>mdr &lt;-<span class="st"> </span><span class="kw"><a href="../reference/mdro.html">mdr_tb</a></span>(my_TB_data)</a>
@@ -257,9 +250,11 @@
 <a class="sourceLine" id="cb4-6" data-line-number="6"><span class="co"># Author:    WHO (World Health Organization)</span></a>
 <a class="sourceLine" id="cb4-7" data-line-number="7"><span class="co"># Source:    https://www.who.int/tb/publications/pmdt_companionhandbook/en/</span></a>
 <a class="sourceLine" id="cb4-8" data-line-number="8"><span class="co"># </span><span class="al">NOTE</span><span class="co">: Reliability might be improved if these antimicrobial results would be available too: CAP (capreomycin), RIB (rifabutin), RFP (rifapentine)</span></a></code></pre></div>
-<p>And review the result with a frequency table:</p>
-<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="kw"><a href="../reference/freq.html">freq</a></span>(my_TB_data<span class="op">$</span>mdr)</a></code></pre></div>
-<p><strong>Frequency table of <code>mdr</code> from <code>my_TB_data</code> (5,000 x 8)</strong></p>
+<p>We also created a package dedicated to data cleaning and checking, called the <code>clean</code> package. It gets automatically installed with the <code>AMR</code> package, so we only have to load it:</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(clean)</a></code></pre></div>
+<p>It contains the <code><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq()</a></code> function, to create a frequency table:</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq</a></span>(my_TB_data<span class="op">$</span>mdr)</a></code></pre></div>
+<p><strong>Frequency table</strong></p>
 <p>Class: factor &gt; ordered (numeric)<br>
 Length: 5,000 (of which NA: 0 = 0.00%)<br>
 Levels: 5: Negative &lt; Mono-resistance &lt; Poly-resistance &lt; Multidrug resistance…<br>
@@ -277,41 +272,41 @@ Unique: 5</p>
 <tr class="odd">
 <td align="left">1</td>
 <td align="left">Mono-resistance</td>
-<td align="right">3,273</td>
-<td align="right">65.5%</td>
-<td align="right">3,273</td>
-<td align="right">65.5%</td>
+<td align="right">3225</td>
+<td align="right">64.5%</td>
+<td align="right">3225</td>
+<td align="right">64.5%</td>
 </tr>
 <tr class="even">
 <td align="left">2</td>
 <td align="left">Negative</td>
-<td align="right">687</td>
-<td align="right">13.7%</td>
-<td align="right">3,960</td>
-<td align="right">79.2%</td>
+<td align="right">644</td>
+<td align="right">12.9%</td>
+<td align="right">3869</td>
+<td align="right">77.4%</td>
 </tr>
 <tr class="odd">
 <td align="left">3</td>
 <td align="left">Multidrug resistance</td>
-<td align="right">569</td>
-<td align="right">11.4%</td>
-<td align="right">4,529</td>
-<td align="right">90.6%</td>
+<td align="right">626</td>
+<td align="right">12.5%</td>
+<td align="right">4495</td>
+<td align="right">89.9%</td>
 </tr>
 <tr class="even">
 <td align="left">4</td>
 <td align="left">Poly-resistance</td>
-<td align="right">277</td>
-<td align="right">5.5%</td>
-<td align="right">4,806</td>
-<td align="right">96.1%</td>
+<td align="right">288</td>
+<td align="right">5.8%</td>
+<td align="right">4783</td>
+<td align="right">95.7%</td>
 </tr>
 <tr class="odd">
 <td align="left">5</td>
 <td align="left">Extensive drug resistance</td>
-<td align="right">194</td>
-<td align="right">3.9%</td>
-<td align="right">5,000</td>
+<td align="right">217</td>
+<td align="right">4.3%</td>
+<td align="right">5000</td>
 <td align="right">100.0%</td>
 </tr>
 </tbody>
diff --git a/docs/articles/SPSS.html b/docs/articles/SPSS.html
index 67304bb9..3364be69 100644
--- a/docs/articles/SPSS.html
+++ b/docs/articles/SPSS.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>How to import data from SPSS / SAS / Stata</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>SPSS.Rmd</code></div>
diff --git a/docs/articles/WHONET.html b/docs/articles/WHONET.html
index ac5cd4e0..64a1fb84 100644
--- a/docs/articles/WHONET.html
+++ b/docs/articles/WHONET.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>How to work with WHONET data</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>WHONET.Rmd</code></div>
@@ -228,16 +221,20 @@
 <a class="sourceLine" id="cb3-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">mo =</span> <span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(Organism)) <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb3-5" data-line-number="5"><span class="st">  </span><span class="co"># transform everything from "AMP_ND10" to "CIP_EE" to the new `rsi` class</span></a>
 <a class="sourceLine" id="cb3-6" data-line-number="6"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span>(<span class="kw"><a href="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span>(AMP_ND10<span class="op">:</span>CIP_EE), as.rsi)</a></code></pre></div>
-<p>No errors or warnings, so all values are transformed succesfully. Let’s check it though, with a couple of frequency tables:</p>
-<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="co"># our newly created `mo` variable</span></a>
-<a class="sourceLine" id="cb4-2" data-line-number="2">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(mo, <span class="dt">nmax =</span> <span class="dv">10</span>)</a></code></pre></div>
-<p><strong>Frequency table of <code>mo</code> from <code>data</code> (500 x 54)</strong></p>
+<p>No errors or warnings, so all values are transformed succesfully.</p>
+<p>We created a package dedicated to data cleaning and checking, called the <code>clean</code> package. It gets automatically installed with the <code>AMR</code> package, so we only have to load it:</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(clean)</a></code></pre></div>
+<p>It contains the <code><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq()</a></code> function, to create frequency tables.</p>
+<p>So let’s check our data, with a couple of frequency tables:</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"><span class="co"># our newly created `mo` variable</span></a>
+<a class="sourceLine" id="cb5-2" data-line-number="2">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq</a></span>(mo, <span class="dt">nmax =</span> <span class="dv">10</span>)</a></code></pre></div>
+<p><strong>Frequency table</strong></p>
 <p>Class: mo (character)<br>
 Length: 500 (of which NA: 0 = 0.00%)<br>
 Unique: 39</p>
 <p>Families: 10<br>
 Genera: 17<br>
-Species: 38</p>
+Species: 39</p>
 <table class="table">
 <thead><tr class="header">
 <th align="left"></th>
@@ -331,18 +328,16 @@ Species: 38</p>
 </tbody>
 </table>
 <p>(omitted 29 entries, n = 57 [11.4%])</p>
-<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1"></a>
-<a class="sourceLine" id="cb5-2" data-line-number="2"><span class="co"># our transformed antibiotic columns</span></a>
-<a class="sourceLine" id="cb5-3" data-line-number="3"><span class="co"># amoxicillin/clavulanic acid (J01CR02) as an example</span></a>
-<a class="sourceLine" id="cb5-4" data-line-number="4">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(AMC_ND2)</a></code></pre></div>
-<p><strong>Frequency table of <code>AMC_ND2</code> from <code>data</code> (500 x 54)</strong></p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"></a>
+<a class="sourceLine" id="cb6-2" data-line-number="2"><span class="co"># our transformed antibiotic columns</span></a>
+<a class="sourceLine" id="cb6-3" data-line-number="3"><span class="co"># amoxicillin/clavulanic acid (J01CR02) as an example</span></a>
+<a class="sourceLine" id="cb6-4" data-line-number="4">data <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/clean/topics/freq">freq</a></span>(AMC_ND2)</a></code></pre></div>
+<p><strong>Frequency table</strong></p>
 <p>Class: factor &gt; ordered &gt; rsi (numeric)<br>
-Length: 500 (of which NA: 19 = 3.80%)<br>
+Length: 481 (of which NA: 19 = 3.95%)<br>
 Levels: 3: S &lt; I &lt; R<br>
 Unique: 3</p>
-<p>Drug: Amoxicillin/clavulanic acid (AMC, J01CR02)<br>
-Group: Beta-lactams/penicillins<br>
-%SI: 78.59%</p>
+<p>%SI: 78.6%</p>
 <table class="table">
 <thead><tr class="header">
 <th align="left"></th>
diff --git a/docs/articles/benchmarks.html b/docs/articles/benchmarks.html
index 84caae51..0c5b69c9 100644
--- a/docs/articles/benchmarks.html
+++ b/docs/articles/benchmarks.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>Benchmarks</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>benchmarks.Rmd</code></div>
@@ -217,14 +210,14 @@
 <a class="sourceLine" id="cb2-8" data-line-number="8">                           <span class="dt">times =</span> <span class="dv">10</span>)</a>
 <a class="sourceLine" id="cb2-9" data-line-number="9"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(S.aureus, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">2</span>)</a>
 <a class="sourceLine" id="cb2-10" data-line-number="10"><span class="co"># Unit: milliseconds</span></a>
-<a class="sourceLine" id="cb2-11" data-line-number="11"><span class="co">#                            expr  min   lq mean median   uq max neval</span></a>
-<a class="sourceLine" id="cb2-12" data-line-number="12"><span class="co">#                    as.mo("sau")  8.5  8.7 12.0    8.9  9.4  26    10</span></a>
-<a class="sourceLine" id="cb2-13" data-line-number="13"><span class="co">#                   as.mo("stau") 31.0 32.0 42.0   33.0 34.0 120    10</span></a>
-<a class="sourceLine" id="cb2-14" data-line-number="14"><span class="co">#                 as.mo("staaur")  8.6  8.7 11.0    9.1  9.2  26    10</span></a>
-<a class="sourceLine" id="cb2-15" data-line-number="15"><span class="co">#                 as.mo("STAAUR")  8.7  9.1  9.3    9.2  9.4  11    10</span></a>
-<a class="sourceLine" id="cb2-16" data-line-number="16"><span class="co">#              as.mo("S. aureus") 23.0 23.0 30.0   24.0 40.0  46    10</span></a>
-<a class="sourceLine" id="cb2-17" data-line-number="17"><span class="co">#             as.mo("S.  aureus") 22.0 23.0 27.0   24.0 25.0  41    10</span></a>
-<a class="sourceLine" id="cb2-18" data-line-number="18"><span class="co">#  as.mo("Staphylococcus aureus")  3.9  4.0  5.7    4.1  4.4  20    10</span></a></code></pre></div>
+<a class="sourceLine" id="cb2-11" data-line-number="11"><span class="co">#                            expr  min   lq mean median   uq   max neval</span></a>
+<a class="sourceLine" id="cb2-12" data-line-number="12"><span class="co">#                    as.mo("sau")  8.3  8.4 15.0    8.9  9.5  57.0    10</span></a>
+<a class="sourceLine" id="cb2-13" data-line-number="13"><span class="co">#                   as.mo("stau") 30.0 31.0 42.0   32.0 48.0 110.0    10</span></a>
+<a class="sourceLine" id="cb2-14" data-line-number="14"><span class="co">#                 as.mo("staaur")  8.3  8.4 10.0    8.5  8.9  25.0    10</span></a>
+<a class="sourceLine" id="cb2-15" data-line-number="15"><span class="co">#                 as.mo("STAAUR")  8.1  8.4 10.0    8.4  9.1  24.0    10</span></a>
+<a class="sourceLine" id="cb2-16" data-line-number="16"><span class="co">#              as.mo("S. aureus") 23.0 23.0 29.0   24.0 38.0  45.0    10</span></a>
+<a class="sourceLine" id="cb2-17" data-line-number="17"><span class="co">#             as.mo("S.  aureus") 22.0 22.0 24.0   23.0 24.0  38.0    10</span></a>
+<a class="sourceLine" id="cb2-18" data-line-number="18"><span class="co">#  as.mo("Staphylococcus aureus")  3.8  3.9  4.1    4.1  4.2   4.6    10</span></a></code></pre></div>
 <p>In the table above, all measurements are shown in milliseconds (thousands of seconds). A value of 5 milliseconds means it can determine 200 input values per second. It case of 100 milliseconds, this is only 10 input values per second. The second input is the only one that has to be looked up thoroughly. All the others are known codes (the first one is a WHONET code) or common laboratory codes, or common full organism names like the last one. Full organism names are always preferred.</p>
 <p>To achieve this speed, the <code>as.mo</code> function also takes into account the prevalence of human pathogenic microorganisms. The downside is of course that less prevalent microorganisms will be determined less fast. See this example for the ID of <em>Thermus islandicus</em> (<code>B_THERMS_ISL</code>), a bug probably never found before in humans:</p>
 <div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1">T.islandicus &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"theisl"</span>),</a>
@@ -236,12 +229,12 @@
 <a class="sourceLine" id="cb3-7" data-line-number="7"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(T.islandicus, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">2</span>)</a>
 <a class="sourceLine" id="cb3-8" data-line-number="8"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb3-9" data-line-number="9"><span class="co">#                         expr min  lq mean median  uq max neval</span></a>
-<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co">#              as.mo("theisl") 290 310  320    320 320 350    10</span></a>
-<a class="sourceLine" id="cb3-11" data-line-number="11"><span class="co">#              as.mo("THEISL") 290 300  310    310 330 340    10</span></a>
-<a class="sourceLine" id="cb3-12" data-line-number="12"><span class="co">#       as.mo("T. islandicus") 140 140  150    150 160 170    10</span></a>
-<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co">#      as.mo("T.  islandicus") 140 140  150    150 170 180    10</span></a>
-<a class="sourceLine" id="cb3-14" data-line-number="14"><span class="co">#  as.mo("Thermus islandicus")  50  52   58     54  68  70    10</span></a></code></pre></div>
-<p>That takes 10.2 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like <em>Thermus islandicus</em>) are almost fast - these are the most probable input from most data sets.</p>
+<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co">#              as.mo("theisl") 250 260  260    260 270 290    10</span></a>
+<a class="sourceLine" id="cb3-11" data-line-number="11"><span class="co">#              as.mo("THEISL") 250 260  270    260 270 320    10</span></a>
+<a class="sourceLine" id="cb3-12" data-line-number="12"><span class="co">#       as.mo("T. islandicus") 120 120  130    130 140 150    10</span></a>
+<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co">#      as.mo("T.  islandicus") 120 130  140    140 140 140    10</span></a>
+<a class="sourceLine" id="cb3-14" data-line-number="14"><span class="co">#  as.mo("Thermus islandicus")  45  46   55     56  62  67    10</span></a></code></pre></div>
+<p>That takes 8.8 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like <em>Thermus islandicus</em>) are almost fast - these are the most probable input from most data sets.</p>
 <p>In the figure below, we compare <em>Escherichia coli</em> (which is very common) with <em>Prevotella brevis</em> (which is moderately common) and with <em>Thermus islandicus</em> (which is very uncommon):</p>
 <div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/par">par</a></span>(<span class="dt">mar =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">5</span>, <span class="dv">16</span>, <span class="dv">4</span>, <span class="dv">2</span>)) <span class="co"># set more space for left margin text (16)</span></a>
 <a class="sourceLine" id="cb4-2" data-line-number="2"></a>
@@ -287,8 +280,8 @@
 <a class="sourceLine" id="cb5-24" data-line-number="24"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
 <a class="sourceLine" id="cb5-25" data-line-number="25"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb5-26" data-line-number="26"><span class="co">#            expr min  lq mean median  uq max neval</span></a>
-<a class="sourceLine" id="cb5-27" data-line-number="27"><span class="co">#  mo_fullname(x) 611 628  643    635 650 714    10</span></a></code></pre></div>
-<p>So transforming 500,000 values (!!) of 50 unique values only takes 0.63 seconds (634 ms). You only lose time on your unique input values.</p>
+<a class="sourceLine" id="cb5-27" data-line-number="27"><span class="co">#  mo_fullname(x) 586 611  623    619 638 671    10</span></a></code></pre></div>
+<p>So transforming 500,000 values (!!) of 50 unique values only takes 0.62 seconds (618 ms). You only lose time on your unique input values.</p>
 </div>
 <div id="precalculated-results" class="section level3">
 <h3 class="hasAnchor">
@@ -301,10 +294,10 @@
 <a class="sourceLine" id="cb6-5" data-line-number="5"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
 <a class="sourceLine" id="cb6-6" data-line-number="6"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb6-7" data-line-number="7"><span class="co">#  expr    min     lq   mean median    uq   max neval</span></a>
-<a class="sourceLine" id="cb6-8" data-line-number="8"><span class="co">#     A  6.730  7.030  8.030  7.750  8.72  9.73    10</span></a>
-<a class="sourceLine" id="cb6-9" data-line-number="9"><span class="co">#     B 22.400 23.000 27.100 23.600 27.10 46.00    10</span></a>
-<a class="sourceLine" id="cb6-10" data-line-number="10"><span class="co">#     C  0.835  0.877  0.978  0.925  1.12  1.18    10</span></a></code></pre></div>
-<p>So going from <code><a href="../reference/mo_property.html">mo_fullname("Staphylococcus aureus")</a></code> to <code>"Staphylococcus aureus"</code> takes 0.0009 seconds - it doesn’t even start calculating <em>if the result would be the same as the expected resulting value</em>. That goes for all helper functions:</p>
+<a class="sourceLine" id="cb6-8" data-line-number="8"><span class="co">#     A  6.350  6.600  7.050  6.870  7.35  8.37    10</span></a>
+<a class="sourceLine" id="cb6-9" data-line-number="9"><span class="co">#     B 21.300 21.500 25.300 22.200 22.70 48.20    10</span></a>
+<a class="sourceLine" id="cb6-10" data-line-number="10"><span class="co">#     C  0.624  0.753  0.804  0.783  0.87  1.01    10</span></a></code></pre></div>
+<p>So going from <code><a href="../reference/mo_property.html">mo_fullname("Staphylococcus aureus")</a></code> to <code>"Staphylococcus aureus"</code> takes 0.0008 seconds - it doesn’t even start calculating <em>if the result would be the same as the expected resulting value</em>. That goes for all helper functions:</p>
 <div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">run_it &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="dt">A =</span> <span class="kw"><a href="../reference/mo_property.html">mo_species</a></span>(<span class="st">"aureus"</span>),</a>
 <a class="sourceLine" id="cb7-2" data-line-number="2">                         <span class="dt">B =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(<span class="st">"Staphylococcus"</span>),</a>
 <a class="sourceLine" id="cb7-3" data-line-number="3">                         <span class="dt">C =</span> <span class="kw"><a href="../reference/mo_property.html">mo_fullname</a></span>(<span class="st">"Staphylococcus aureus"</span>),</a>
@@ -317,14 +310,14 @@
 <a class="sourceLine" id="cb7-10" data-line-number="10"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
 <a class="sourceLine" id="cb7-11" data-line-number="11"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb7-12" data-line-number="12"><span class="co">#  expr   min    lq  mean median    uq   max neval</span></a>
-<a class="sourceLine" id="cb7-13" data-line-number="13"><span class="co">#     A 0.468 0.470 0.533  0.489 0.595 0.690    10</span></a>
-<a class="sourceLine" id="cb7-14" data-line-number="14"><span class="co">#     B 0.504 0.513 0.555  0.520 0.571 0.711    10</span></a>
-<a class="sourceLine" id="cb7-15" data-line-number="15"><span class="co">#     C 0.629 0.687 0.864  0.855 1.050 1.130    10</span></a>
-<a class="sourceLine" id="cb7-16" data-line-number="16"><span class="co">#     D 0.505 0.515 0.575  0.530 0.649 0.767    10</span></a>
-<a class="sourceLine" id="cb7-17" data-line-number="17"><span class="co">#     E 0.442 0.457 0.529  0.481 0.531 0.774    10</span></a>
-<a class="sourceLine" id="cb7-18" data-line-number="18"><span class="co">#     F 0.447 0.510 0.554  0.568 0.609 0.618    10</span></a>
-<a class="sourceLine" id="cb7-19" data-line-number="19"><span class="co">#     G 0.443 0.470 0.492  0.477 0.506 0.601    10</span></a>
-<a class="sourceLine" id="cb7-20" data-line-number="20"><span class="co">#     H 0.448 0.459 0.491  0.466 0.515 0.633    10</span></a></code></pre></div>
+<a class="sourceLine" id="cb7-13" data-line-number="13"><span class="co">#     A 0.436 0.454 0.460  0.460 0.462 0.491    10</span></a>
+<a class="sourceLine" id="cb7-14" data-line-number="14"><span class="co">#     B 0.472 0.480 0.496  0.488 0.513 0.542    10</span></a>
+<a class="sourceLine" id="cb7-15" data-line-number="15"><span class="co">#     C 0.657 0.672 0.757  0.750 0.797 0.952    10</span></a>
+<a class="sourceLine" id="cb7-16" data-line-number="16"><span class="co">#     D 0.478 0.495 0.500  0.499 0.503 0.540    10</span></a>
+<a class="sourceLine" id="cb7-17" data-line-number="17"><span class="co">#     E 0.436 0.446 0.456  0.448 0.455 0.507    10</span></a>
+<a class="sourceLine" id="cb7-18" data-line-number="18"><span class="co">#     F 0.437 0.447 0.455  0.454 0.460 0.478    10</span></a>
+<a class="sourceLine" id="cb7-19" data-line-number="19"><span class="co">#     G 0.428 0.441 0.449  0.447 0.455 0.477    10</span></a>
+<a class="sourceLine" id="cb7-20" data-line-number="20"><span class="co">#     H 0.438 0.445 0.456  0.451 0.472 0.477    10</span></a></code></pre></div>
 <p>Of course, when running <code><a href="../reference/mo_property.html">mo_phylum("Firmicutes")</a></code> the function has zero knowledge about the actual microorganism, namely <em>S. aureus</em>. But since the result would be <code>"Firmicutes"</code> too, there is no point in calculating the result. And because this package ‘knows’ all phyla of all known bacteria (according to the Catalogue of Life), it can just return the initial value immediately.</p>
 </div>
 <div id="results-in-other-languages" class="section level3">
@@ -351,13 +344,13 @@
 <a class="sourceLine" id="cb8-18" data-line-number="18"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">4</span>)</a>
 <a class="sourceLine" id="cb8-19" data-line-number="19"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb8-20" data-line-number="20"><span class="co">#  expr   min    lq  mean median    uq   max neval</span></a>
-<a class="sourceLine" id="cb8-21" data-line-number="21"><span class="co">#    en 19.29 20.39 22.42  20.64 21.26 38.98    10</span></a>
-<a class="sourceLine" id="cb8-22" data-line-number="22"><span class="co">#    de 22.03 22.40 23.78  23.08 23.60 31.74    10</span></a>
-<a class="sourceLine" id="cb8-23" data-line-number="23"><span class="co">#    nl 27.98 28.60 29.22  28.87 30.13 30.53    10</span></a>
-<a class="sourceLine" id="cb8-24" data-line-number="24"><span class="co">#    es 21.44 22.97 30.04  24.11 45.71 46.46    10</span></a>
-<a class="sourceLine" id="cb8-25" data-line-number="25"><span class="co">#    it 21.17 21.82 22.47  22.44 23.27 23.52    10</span></a>
-<a class="sourceLine" id="cb8-26" data-line-number="26"><span class="co">#    fr 20.75 21.58 24.10  22.04 22.41 42.96    10</span></a>
-<a class="sourceLine" id="cb8-27" data-line-number="27"><span class="co">#    pt 21.24 21.92 24.31  22.75 23.26 39.91    10</span></a></code></pre></div>
+<a class="sourceLine" id="cb8-21" data-line-number="21"><span class="co">#    en 17.21 17.67 18.20  18.40 18.62 18.81    10</span></a>
+<a class="sourceLine" id="cb8-22" data-line-number="22"><span class="co">#    de 18.76 19.01 21.59  19.45 19.82 41.96    10</span></a>
+<a class="sourceLine" id="cb8-23" data-line-number="23"><span class="co">#    nl 24.15 24.57 29.11  25.67 26.49 45.25    10</span></a>
+<a class="sourceLine" id="cb8-24" data-line-number="24"><span class="co">#    es 18.31 19.02 19.33  19.37 19.93 20.09    10</span></a>
+<a class="sourceLine" id="cb8-25" data-line-number="25"><span class="co">#    it 18.96 19.27 23.48  19.58 20.91 41.27    10</span></a>
+<a class="sourceLine" id="cb8-26" data-line-number="26"><span class="co">#    fr 18.33 18.80 19.46  19.27 19.97 21.10    10</span></a>
+<a class="sourceLine" id="cb8-27" data-line-number="27"><span class="co">#    pt 18.89 19.50 20.54  19.70 20.36 27.83    10</span></a></code></pre></div>
 <p>Currently supported are German, Dutch, Spanish, Italian, French and Portuguese.</p>
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diff --git a/docs/articles/index.html b/docs/articles/index.html
index d641e7b2..b6c61875 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9014</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -156,13 +156,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -242,7 +235,6 @@
         <li><a href="SPSS.html">How to import data from SPSS / SAS / Stata</a></li>
         <li><a href="WHONET.html">How to work with WHONET data</a></li>
         <li><a href="benchmarks.html">Benchmarks</a></li>
-        <li><a href="freq.html">How to create frequency tables</a></li>
         <li><a href="resistance_predict.html">How to predict antimicrobial resistance</a></li>
       </ul>
     </div>
diff --git a/docs/articles/resistance_predict.html b/docs/articles/resistance_predict.html
index 707b0872..a2a5bee3 100644
--- a/docs/articles/resistance_predict.html
+++ b/docs/articles/resistance_predict.html
@@ -40,7 +40,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -118,13 +118,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -192,7 +185,7 @@
       <h1>How to predict antimicrobial resistance</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">10 July 2019</h4>
+            <h4 class="date">29 July 2019</h4>
       
       
       <div class="hidden name"><code>resistance_predict.Rmd</code></div>
diff --git a/docs/authors.html b/docs/authors.html
index 9efd958e..5150acd4 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9014</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -156,13 +156,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/index.html b/docs/index.html
index 0fd4ae62..9fc450e4 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -42,7 +42,7 @@
       </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">0.7.1.9014</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -120,13 +120,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -213,7 +206,6 @@
 <li>Plotting antimicrobial resistance (<a href="./articles/AMR.html">tutorial</a>)</li>
 <li>Determining first isolates to be used for AMR analysis (<a href="./reference/first_isolate.html">manual</a>)</li>
 <li>Applying EUCAST expert rules (<a href="./reference/eucast_rules.html">manual</a>)</li>
-<li>Descriptive statistics: frequency tables, kurtosis and skewness (<a href="./articles/freq.html">tutorial</a>)</li>
 </ul>
 <p>This package is ready-to-use for a professional environment by specialists in the following fields:</p>
 <p>Medical Microbiology</p>
@@ -340,8 +332,6 @@
 <li>Calculate the resistance (and even co-resistance) of microbial isolates with the <code><a href="reference/portion.html">portion_R()</a></code>, <code><a href="reference/portion.html">portion_IR()</a></code>, <code><a href="reference/portion.html">portion_I()</a></code>, <code><a href="reference/portion.html">portion_SI()</a></code> and <code><a href="reference/portion.html">portion_S()</a></code> functions. Similarly, the <em>number</em> of isolates can be determined with the <code><a href="reference/count.html">count_R()</a></code>, <code><a href="reference/count.html">count_IR()</a></code>, <code><a href="reference/count.html">count_I()</a></code>, <code><a href="reference/count.html">count_SI()</a></code> and <code><a href="reference/count.html">count_S()</a></code> functions. All these functions can be used with the <code>dplyr</code> package (e.g. in conjunction with <code>summarise()</code>)</li>
 <li>Plot AMR results with <code><a href="reference/ggplot_rsi.html">geom_rsi()</a></code>, a function made for the <code>ggplot2</code> package</li>
 <li>Predict antimicrobial resistance for the nextcoming years using logistic regression models with the <code><a href="reference/resistance_predict.html">resistance_predict()</a></code> function</li>
-<li>Conduct descriptive statistics to enhance base R: calculate <code><a href="reference/kurtosis.html">kurtosis()</a></code>, <code><a href="reference/skewness.html">skewness()</a></code> and create frequency tables with <code><a href="reference/freq.html">freq()</a></code>
-</li>
 </ul>
 </li>
 <li>
diff --git a/docs/news/index.html b/docs/news/index.html
index f7115623..5efeb137 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9014</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -156,13 +156,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -232,10 +225,17 @@
       
     </div>
 
-    <div id="amr-0-7-1-9014" class="section level1">
+    <div id="amr-0-7-1-9015" class="section level1">
 <h1 class="page-header">
-<a href="#amr-0-7-1-9014" class="anchor"></a>AMR 0.7.1.9014<small> Unreleased </small>
+<a href="#amr-0-7-1-9015" class="anchor"></a>AMR 0.7.1.9015<small> Unreleased </small>
 </h1>
+<div id="breaking" class="section level3">
+<h3 class="hasAnchor">
+<a href="#breaking" class="anchor"></a>Breaking</h3>
+<ul>
+<li>Function <code>freq()</code> has moved to a new package, <a href="https://github.com/msberends/clean"><code>clean</code></a> (<a href="https://cran.r-project.org/package=clean">CRAN link</a>). Creating frequency tables is actually not the scope of this package (never was) and this function has matured a lot over the last two years. We decided to create a new package for data cleaning and checking and it perfectly fits the <code>freq()</code> function. The <a href="https://github.com/msberends/clean"><code>clean</code></a> package is available on CRAN and will be installed automatically when updating the <code>AMR</code> package, that now imports it. In a later stage, the <code><a href="../reference/skewness.html">skewness()</a></code> and <code><a href="../reference/kurtosis.html">kurtosis()</a></code> functions will be moved to the <code>clean</code> package too.</li>
+</ul>
+</div>
 <div id="new" class="section level3">
 <h3 class="hasAnchor">
 <a href="#new" class="anchor"></a>New</h3>
@@ -421,7 +421,7 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=Tra
 <li>The <code><a href="../reference/age.html">age()</a></code> function gained a new parameter <code>exact</code> to determine ages with decimals</li>
 <li>Removed deprecated functions <code>guess_mo()</code>, <code>guess_atc()</code>, <code>EUCAST_rules()</code>, <code>interpretive_reading()</code>, <code>rsi()</code>
 </li>
-<li>Frequency tables (<code><a href="../reference/freq.html">freq()</a></code>):
+<li>Frequency tables (<code>freq()</code>):
 <ul>
 <li>speed improvement for microbial IDs</li>
 <li>fixed factor level names for R Markdown</li>
@@ -429,12 +429,12 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=Tra
 <li>
 <p>support for boxplots:</p>
 <div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="st">  </span><span class="kw">freq</span>(age) <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb4-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a>
 <a class="sourceLine" id="cb4-4" data-line-number="4"><span class="co"># grouped boxplots:</span></a>
 <a class="sourceLine" id="cb4-5" data-line-number="5">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb4-6" data-line-number="6"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb4-7" data-line-number="7"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb4-7" data-line-number="7"><span class="st">  </span><span class="kw">freq</span>(age) <span class="op">%&gt;%</span></a>
 <a class="sourceLine" id="cb4-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a></code></pre></div>
 </li>
 </ul>
@@ -445,7 +445,7 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=EUC
 <li>Added ceftazidim intrinsic resistance to <em>Streptococci</em>
 </li>
 <li>Changed default settings for <code><a href="../reference/age_groups.html">age_groups()</a></code>, to let groups of fives and tens end with 100+ instead of 120+</li>
-<li>Fix for <code><a href="../reference/freq.html">freq()</a></code> for when all values are <code>NA</code>
+<li>Fix for <code>freq()</code> for when all values are <code>NA</code>
 </li>
 <li>Fix for <code><a href="../reference/first_isolate.html">first_isolate()</a></code> for when dates are missing</li>
 <li>Improved speed of <code><a href="../reference/guess_ab_col.html">guess_ab_col()</a></code>
@@ -667,7 +667,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 </ul>
 </li>
-<li>Frequency tables (<code><a href="../reference/freq.html">freq()</a></code> function):
+<li>Frequency tables (<code>freq()</code> function):
 <ul>
 <li>
 <p>Support for tidyverse quasiquotation! Now you can create frequency tables of function outcomes:</p>
@@ -675,15 +675,15 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <a class="sourceLine" id="cb14-2" data-line-number="2"><span class="co"># OLD WAY</span></a>
 <a class="sourceLine" id="cb14-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span></a>
 <a class="sourceLine" id="cb14-4" data-line-number="4"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo)) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb14-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(genus)</a>
+<a class="sourceLine" id="cb14-5" data-line-number="5"><span class="st">  </span><span class="kw">freq</span>(genus)</a>
 <a class="sourceLine" id="cb14-6" data-line-number="6"><span class="co"># NEW WAY</span></a>
 <a class="sourceLine" id="cb14-7" data-line-number="7">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb14-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a>
+<a class="sourceLine" id="cb14-8" data-line-number="8"><span class="st">  </span><span class="kw">freq</span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a>
 <a class="sourceLine" id="cb14-9" data-line-number="9"></a>
 <a class="sourceLine" id="cb14-10" data-line-number="10"><span class="co"># Even supports grouping variables:</span></a>
 <a class="sourceLine" id="cb14-11" data-line-number="11">septic_patients <span class="op">%&gt;%</span></a>
 <a class="sourceLine" id="cb14-12" data-line-number="12"><span class="st">  </span><span class="kw">group_by</span>(gender) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb14-13" data-line-number="13"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a></code></pre></div>
+<a class="sourceLine" id="cb14-13" data-line-number="13"><span class="st">  </span><span class="kw">freq</span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a></code></pre></div>
 </li>
 <li>Header info is now available as a list, with the <code>header</code> function</li>
 <li>The parameter <code>header</code> is now set to <code>TRUE</code> at default, even for markdown</li>
@@ -770,18 +770,18 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>Using <code>portion_*</code> functions now throws a warning when total available isolate is below parameter <code>minimum</code>
 </li>
 <li>Functions <code>as.mo</code>, <code>as.rsi</code>, <code>as.mic</code>, <code>as.atc</code> and <code>freq</code> will not set package name as attribute anymore</li>
-<li>Frequency tables - <code><a href="../reference/freq.html">freq()</a></code>:
+<li>Frequency tables - <code>freq()</code>:
 <ul>
 <li>
 <p>Support for grouping variables, test with:</p>
 <div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb16-2" data-line-number="2"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb16-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender)</a></code></pre></div>
+<a class="sourceLine" id="cb16-3" data-line-number="3"><span class="st">  </span><span class="kw">freq</span>(gender)</a></code></pre></div>
 </li>
 <li>
 <p>Support for (un)selecting columns:</p>
 <div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb17-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb17-2" data-line-number="2"><span class="st">  </span><span class="kw">freq</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb17-3" data-line-number="3"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>count, <span class="op">-</span>cum_count) <span class="co"># only get item, percent, cum_percent</span></a></code></pre></div>
 </li>
 <li>Check for <code><a href="https://www.rdocumentation.org/packages/hms/topics/Deprecated">hms::is.hms</a></code>
@@ -802,7 +802,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>Removed diacritics from all authors (columns <code>microorganisms$ref</code> and <code>microorganisms.old$ref</code>) to comply with CRAN policy to only allow ASCII characters</li>
 <li>Fix for <code>mo_property</code> not working properly</li>
 <li>Fix for <code>eucast_rules</code> where some Streptococci would become ceftazidime R in EUCAST rule 4.5</li>
-<li>Support for named vectors of class <code>mo</code>, useful for <code><a href="../reference/freq.html">top_freq()</a></code>
+<li>Support for named vectors of class <code>mo</code>, useful for <code>top_freq()</code>
 </li>
 <li>
 <code>ggplot_rsi</code> and <code>scale_y_percent</code> have <code>breaks</code> parameter</li>
@@ -960,11 +960,11 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>
 <p>Support for types (classes) list and matrix for <code>freq</code></p>
 <div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" data-line-number="1">my_matrix =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/with">with</a></span>(septic_patients, <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/matrix">matrix</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(age, gender), <span class="dt">ncol =</span> <span class="dv">2</span>))</a>
-<a class="sourceLine" id="cb24-2" data-line-number="2"><span class="kw"><a href="../reference/freq.html">freq</a></span>(my_matrix)</a></code></pre></div>
+<a class="sourceLine" id="cb24-2" data-line-number="2"><span class="kw">freq</span>(my_matrix)</a></code></pre></div>
 <p>For lists, subsetting is possible:</p>
 <div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1">my_list =<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/list">list</a></span>(<span class="dt">age =</span> septic_patients<span class="op">$</span>age, <span class="dt">gender =</span> septic_patients<span class="op">$</span>gender)</a>
-<a class="sourceLine" id="cb25-2" data-line-number="2">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(age)</a>
-<a class="sourceLine" id="cb25-3" data-line-number="3">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/freq.html">freq</a></span>(gender)</a></code></pre></div>
+<a class="sourceLine" id="cb25-2" data-line-number="2">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">freq</span>(age)</a>
+<a class="sourceLine" id="cb25-3" data-line-number="3">my_list <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">freq</span>(gender)</a></code></pre></div>
 </li>
 </ul>
 </div>
@@ -1038,13 +1038,13 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <ul>
 <li>A vignette to explain its usage</li>
 <li>Support for <code>rsi</code> (antimicrobial resistance) to use as input</li>
-<li>Support for <code>table</code> to use as input: <code><a href="../reference/freq.html">freq(table(x, y))</a></code>
+<li>Support for <code>table</code> to use as input: <code>freq(table(x, y))</code>
 </li>
 <li>Support for existing functions <code>hist</code> and <code>plot</code> to use a frequency table as input: <code><a href="https://www.rdocumentation.org/packages/graphics/topics/hist">hist(freq(df$age))</a></code>
 </li>
 <li>Support for <code>as.vector</code>, <code>as.data.frame</code>, <code>as_tibble</code> and <code>format</code>
 </li>
-<li>Support for quasiquotation: <code><a href="../reference/freq.html">freq(mydata, mycolumn)</a></code> is the same as <code>mydata %&gt;% freq(mycolumn)</code>
+<li>Support for quasiquotation: <code>freq(mydata, mycolumn)</code> is the same as <code>mydata %&gt;% freq(mycolumn)</code>
 </li>
 <li>Function <code>top_freq</code> function to return the top/below <em>n</em> items as vector</li>
 <li>Header of frequency tables now also show Mean Absolute Deviaton (MAD) and Interquartile Range (IQR)</li>
@@ -1198,7 +1198,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
     <div id="tocnav">
       <h2>Contents</h2>
       <ul class="nav nav-pills nav-stacked">
-        <li><a href="#amr-0-7-1-9014">0.7.1.9014</a></li>
+        <li><a href="#amr-0-7-1-9015">0.7.1.9015</a></li>
         <li><a href="#amr-0-7-1">0.7.1</a></li>
         <li><a href="#amr-0-7-0">0.7.0</a></li>
         <li><a href="#amr-0-6-1">0.6.1</a></li>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index 1c0ed4af..a569ce0c 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -8,7 +8,6 @@ articles:
   SPSS: SPSS.html
   WHONET: WHONET.html
   benchmarks: benchmarks.html
-  freq: freq.html
   resistance_predict: resistance_predict.html
 urls:
   reference: https://msberends.gitlab.io/AMR/reference
diff --git a/docs/reference/AMR-deprecated.html b/docs/reference/AMR-deprecated.html
index f405ff51..6e345199 100644
--- a/docs/reference/AMR-deprecated.html
+++ b/docs/reference/AMR-deprecated.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/AMR.html b/docs/reference/AMR.html
index 410cdd64..dea7cd8c 100644
--- a/docs/reference/AMR.html
+++ b/docs/reference/AMR.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/WHOCC.html b/docs/reference/WHOCC.html
index c6e6bae6..2ef0cefa 100644
--- a/docs/reference/WHOCC.html
+++ b/docs/reference/WHOCC.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/WHONET.html b/docs/reference/WHONET.html
index 4046f624..8366c8c8 100644
--- a/docs/reference/WHONET.html
+++ b/docs/reference/WHONET.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/ab_property.html b/docs/reference/ab_property.html
index 57c13872..5972d988 100644
--- a/docs/reference/ab_property.html
+++ b/docs/reference/ab_property.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/age.html b/docs/reference/age.html
index d1d89fa6..9c6d191b 100644
--- a/docs/reference/age.html
+++ b/docs/reference/age.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/age_groups.html b/docs/reference/age_groups.html
index 2bdafb01..ef94ec08 100644
--- a/docs/reference/age_groups.html
+++ b/docs/reference/age_groups.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/antibiotics.html b/docs/reference/antibiotics.html
index dbf39e76..58a740ce 100644
--- a/docs/reference/antibiotics.html
+++ b/docs/reference/antibiotics.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/as.ab.html b/docs/reference/as.ab.html
index 7aaa7194..c17cb266 100644
--- a/docs/reference/as.ab.html
+++ b/docs/reference/as.ab.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/as.disk.html b/docs/reference/as.disk.html
index 914e8e06..2b43b8e6 100644
--- a/docs/reference/as.disk.html
+++ b/docs/reference/as.disk.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/as.mic.html b/docs/reference/as.mic.html
index 2528e2e2..36e36c04 100644
--- a/docs/reference/as.mic.html
+++ b/docs/reference/as.mic.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -296,7 +289,7 @@
 
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>mic_data</span>)
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/barplot'>barplot</a></span>(<span class='no'>mic_data</span>)
-<span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>mic_data</span>)
+<span class='fu'>freq</span>(<span class='no'>mic_data</span>)
 <span class='co'># }</span></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
diff --git a/docs/reference/as.mo.html b/docs/reference/as.mo.html
index 22081145..86696e2f 100644
--- a/docs/reference/as.mo.html
+++ b/docs/reference/as.mo.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/as.rsi.html b/docs/reference/as.rsi.html
index 82a2fb27..94dc2e51 100644
--- a/docs/reference/as.rsi.html
+++ b/docs/reference/as.rsi.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -343,7 +336,7 @@
 
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>rsi_data</span>)    <span class='co'># for percentages</span>
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/barplot'>barplot</a></span>(<span class='no'>rsi_data</span>) <span class='co'># for frequencies</span>
-<span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>rsi_data</span>)    <span class='co'># frequency table with informative header</span>
+<span class='fu'>freq</span>(<span class='no'>rsi_data</span>)    <span class='co'># frequency table with informative header</span>
 
 <span class='co'># using dplyr's mutate</span>
 <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>dplyr</span>)
diff --git a/docs/reference/atc_online.html b/docs/reference/atc_online.html
index aa05ed26..d9f7f5b6 100644
--- a/docs/reference/atc_online.html
+++ b/docs/reference/atc_online.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/availability.html b/docs/reference/availability.html
index 5cb0e25a..0e232912 100644
--- a/docs/reference/availability.html
+++ b/docs/reference/availability.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/catalogue_of_life.html b/docs/reference/catalogue_of_life.html
index 76325f50..8e5b534c 100644
--- a/docs/reference/catalogue_of_life.html
+++ b/docs/reference/catalogue_of_life.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/catalogue_of_life_version.html b/docs/reference/catalogue_of_life_version.html
index 836a7fbf..8d77c96c 100644
--- a/docs/reference/catalogue_of_life_version.html
+++ b/docs/reference/catalogue_of_life_version.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -271,8 +264,8 @@ This package contains the complete taxonomic tree of almost all microorganisms (
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><span class='co'># NOT RUN {</span>
 <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>dplyr</span>)
-<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>kingdom</span>)
-<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>kingdom</span>) <span class='kw'>%&gt;%</span> <span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>phylum</span>, <span class='kw'>nmax</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
+<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'>freq</span>(<span class='no'>kingdom</span>)
+<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>kingdom</span>) <span class='kw'>%&gt;%</span> <span class='fu'>freq</span>(<span class='no'>phylum</span>, <span class='kw'>nmax</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
 <span class='co'># }</span></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
diff --git a/docs/reference/count.html b/docs/reference/count.html
index 9f3ae52a..ef9f9b5f 100644
--- a/docs/reference/count.html
+++ b/docs/reference/count.html
@@ -81,7 +81,7 @@ count_R and count_IR can be used to count resistant isolates, count_S and count_
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -159,13 +159,6 @@ count_R and count_IR can be used to count resistant isolates, count_S and count_
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/eucast_rules.html b/docs/reference/eucast_rules.html
index 25ec02e6..df0589f0 100644
--- a/docs/reference/eucast_rules.html
+++ b/docs/reference/eucast_rules.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/extended-functions.html b/docs/reference/extended-functions.html
index c2282751..60d1a7c1 100644
--- a/docs/reference/extended-functions.html
+++ b/docs/reference/extended-functions.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/filter_ab_class.html b/docs/reference/filter_ab_class.html
index 5bb4aa84..3559e96b 100644
--- a/docs/reference/filter_ab_class.html
+++ b/docs/reference/filter_ab_class.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/first_isolate.html b/docs/reference/first_isolate.html
index 29fb5e61..8db58b5b 100644
--- a/docs/reference/first_isolate.html
+++ b/docs/reference/first_isolate.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/g.test.html b/docs/reference/g.test.html
index 3208e959..a60d6dc2 100644
--- a/docs/reference/g.test.html
+++ b/docs/reference/g.test.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/ggplot_rsi.html b/docs/reference/ggplot_rsi.html
index 012a38ab..9769a94d 100644
--- a/docs/reference/ggplot_rsi.html
+++ b/docs/reference/ggplot_rsi.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -457,7 +450,7 @@
   <span class='co'># create new bacterial ID's, with all CoNS under the same group (Becker et al.)</span>
   <span class='fu'><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate</a></span>(<span class='kw'>mo</span> <span class='kw'>=</span> <span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='no'>mo</span>, <span class='kw'>Becker</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)) <span class='kw'>%&gt;%</span>
   <span class='co'># filter on top three bacterial ID's</span>
-  <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>mo</span> <span class='kw'>%in%</span> <span class='fu'><a href='freq.html'>top_freq</a></span>(<span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>.</span>$<span class='no'>mo</span>), <span class='fl'>3</span>)) <span class='kw'>%&gt;%</span>
+  <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>mo</span> <span class='kw'>%in%</span> <span class='fu'>top_freq</span>(<span class='fu'>freq</span>(<span class='no'>.</span>$<span class='no'>mo</span>), <span class='fl'>3</span>)) <span class='kw'>%&gt;%</span>
   <span class='co'># filter on first isolates</span>
   <span class='fu'><a href='first_isolate.html'>filter_first_isolate</a></span>() <span class='kw'>%&gt;%</span>
   <span class='co'># get short MO names (like "E. coli")</span>
diff --git a/docs/reference/guess_ab_col.html b/docs/reference/guess_ab_col.html
index 142e741d..74c36996 100644
--- a/docs/reference/guess_ab_col.html
+++ b/docs/reference/guess_ab_col.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/index.html b/docs/reference/index.html
index c14926fe..4b797266 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9014</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -156,13 +156,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -411,7 +404,7 @@
       <tr>
         <th colspan="2">
           <h2 id="section-analysing-your-data" class="hasAnchor"><a href="#section-analysing-your-data" class="anchor"></a>Analysing your data</h2>
-          <p class="section-desc"><p>Functions for conducting AMR analysis, like counting isolates, calculating resistance or susceptibility, creating frequency tables or make plots.</p></p>
+          <p class="section-desc"><p>Functions for conducting AMR analysis, like counting isolates, calculating resistance or susceptibility, or make plots.</p></p>
         </th>
       </tr>
       <tr>
@@ -440,12 +433,6 @@
         <td><p>Filter isolates on result in antibiotic class</p></td>
       </tr><tr>
         
-        <td>
-          <p><code><a href="freq.html">freq()</a></code> <code><a href="freq.html">frequency_tbl()</a></code> <code><a href="freq.html">top_freq()</a></code> <code><a href="freq.html">header()</a></code> <code><a href="freq.html">print(<i>&lt;freq&gt;</i>)</a></code> </p>
-        </td>
-        <td><p>Frequency table</p></td>
-      </tr><tr>
-        
         <td>
           <p><code><a href="g.test.html">g.test()</a></code> </p>
         </td>
diff --git a/docs/reference/join.html b/docs/reference/join.html
index 0f87e79f..8f972cd6 100644
--- a/docs/reference/join.html
+++ b/docs/reference/join.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/key_antibiotics.html b/docs/reference/key_antibiotics.html
index a48aeb53..22c913b5 100644
--- a/docs/reference/key_antibiotics.html
+++ b/docs/reference/key_antibiotics.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/kurtosis.html b/docs/reference/kurtosis.html
index 771735a5..977c8b5f 100644
--- a/docs/reference/kurtosis.html
+++ b/docs/reference/kurtosis.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/like.html b/docs/reference/like.html
index 9e4e20a3..189415b0 100644
--- a/docs/reference/like.html
+++ b/docs/reference/like.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
@@ -309,7 +302,7 @@
 <span class='no'>septic_patients</span> <span class='kw'>%&gt;%</span>
   <span class='fu'><a href='join.html'>left_join_microorganisms</a></span>() <span class='kw'>%&gt;%</span>
   <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span>(<span class='no'>genus</span> <span class='kw'>%like%</span> <span class='st'>'^ent'</span>) <span class='kw'>%&gt;%</span>
-  <span class='fu'><a href='freq.html'>freq</a></span>(<span class='no'>genus</span>, <span class='no'>species</span>)
+  <span class='fu'>freq</span>(<span class='no'>genus</span>, <span class='no'>species</span>)
 <span class='co'># }</span></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
diff --git a/docs/reference/mdro.html b/docs/reference/mdro.html
index 94fab294..62e484ed 100644
--- a/docs/reference/mdro.html
+++ b/docs/reference/mdro.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/microorganisms.codes.html b/docs/reference/microorganisms.codes.html
index 0b4f0e17..541e64c0 100644
--- a/docs/reference/microorganisms.codes.html
+++ b/docs/reference/microorganisms.codes.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/microorganisms.html b/docs/reference/microorganisms.html
index fe0359ce..1f15e96c 100644
--- a/docs/reference/microorganisms.html
+++ b/docs/reference/microorganisms.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/microorganisms.old.html b/docs/reference/microorganisms.old.html
index 03147f1a..6695e187 100644
--- a/docs/reference/microorganisms.old.html
+++ b/docs/reference/microorganisms.old.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/mo_property.html b/docs/reference/mo_property.html
index 3c5a2819..ff83d0d8 100644
--- a/docs/reference/mo_property.html
+++ b/docs/reference/mo_property.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9009</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/mo_source.html b/docs/reference/mo_source.html
index cce98d60..50d67bc8 100644
--- a/docs/reference/mo_source.html
+++ b/docs/reference/mo_source.html
@@ -81,7 +81,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -159,13 +159,6 @@ This is the fastest way to have your organisation (or analysis) specific codes p
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/p.symbol.html b/docs/reference/p.symbol.html
index 722d4578..35774dfc 100644
--- a/docs/reference/p.symbol.html
+++ b/docs/reference/p.symbol.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/portion.html b/docs/reference/portion.html
index 0ead9559..a3433e1e 100644
--- a/docs/reference/portion.html
+++ b/docs/reference/portion.html
@@ -81,7 +81,7 @@ portion_R and portion_IR can be used to calculate resistance, portion_S and port
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -159,13 +159,6 @@ portion_R and portion_IR can be used to calculate resistance, portion_S and port
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/read.4D.html b/docs/reference/read.4D.html
index b49e4369..76d0263d 100644
--- a/docs/reference/read.4D.html
+++ b/docs/reference/read.4D.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/resistance_predict.html b/docs/reference/resistance_predict.html
index 2ca6a2d4..ee1abfe4 100644
--- a/docs/reference/resistance_predict.html
+++ b/docs/reference/resistance_predict.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/rsi_translation.html b/docs/reference/rsi_translation.html
index 69f648aa..ed09bc3a 100644
--- a/docs/reference/rsi_translation.html
+++ b/docs/reference/rsi_translation.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/septic_patients.html b/docs/reference/septic_patients.html
index 85f4b704..3442d8a4 100644
--- a/docs/reference/septic_patients.html
+++ b/docs/reference/septic_patients.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/skewness.html b/docs/reference/skewness.html
index 9a765c78..120de23a 100644
--- a/docs/reference/skewness.html
+++ b/docs/reference/skewness.html
@@ -81,7 +81,7 @@ When negative: the left tail is longer; the mass of the distribution is concentr
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -159,13 +159,6 @@ When negative: the left tail is longer; the mass of the distribution is concentr
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/reference/translate.html b/docs/reference/translate.html
index d372d531..8de2ba51 100644
--- a/docs/reference/translate.html
+++ b/docs/reference/translate.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9012</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
       </span>
     </div>
 
@@ -158,13 +158,6 @@
         Get properties of an antibiotic
       </a>
     </li>
-    <li>
-      <a href="../articles/freq.html">
-        <span class="fa fa-sort-amount-down"></span>
-         
-        Create frequency tables
-      </a>
-    </li>
     <li>
       <a href="../articles/benchmarks.html">
         <span class="fa fa-shipping-fast"></span>
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 67b4672e..c327e49f 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -69,9 +69,6 @@
   <url>
     <loc>https://msberends.gitlab.io/AMR/reference/first_isolate.html</loc>
   </url>
-  <url>
-    <loc>https://msberends.gitlab.io/AMR/reference/freq.html</loc>
-  </url>
   <url>
     <loc>https://msberends.gitlab.io/AMR/reference/g.test.html</loc>
   </url>
@@ -153,9 +150,6 @@
   <url>
     <loc>https://msberends.gitlab.io/AMR/articles/benchmarks.html</loc>
   </url>
-  <url>
-    <loc>https://msberends.gitlab.io/AMR/articles/freq.html</loc>
-  </url>
   <url>
     <loc>https://msberends.gitlab.io/AMR/articles/resistance_predict.html</loc>
   </url>
diff --git a/index.md b/index.md
index 8957bd87..08a2ea8e 100644
--- a/index.md
+++ b/index.md
@@ -26,7 +26,6 @@ This package can be used for:
   * Plotting antimicrobial resistance ([tutorial](./articles/AMR.html))
   * Determining first isolates to be used for AMR analysis ([manual](./reference/first_isolate.html))
   * Applying EUCAST expert rules ([manual](./reference/eucast_rules.html))
-  * Descriptive statistics: frequency tables, kurtosis and skewness ([tutorial](./articles/freq.html))
 
 This package is ready-to-use for a professional environment by specialists in the following fields:
 
@@ -154,7 +153,6 @@ The `AMR` package basically does four important things:
    * Calculate the resistance (and even co-resistance) of microbial isolates with the `portion_R()`, `portion_IR()`, `portion_I()`, `portion_SI()` and `portion_S()` functions. Similarly, the *number* of isolates can be determined with the `count_R()`, `count_IR()`, `count_I()`, `count_SI()` and `count_S()` functions. All these functions can be used with the `dplyr` package (e.g. in conjunction with `summarise()`)
    * Plot AMR results with `geom_rsi()`, a function made for the `ggplot2` package
    * Predict antimicrobial resistance for the nextcoming years using logistic regression models with the `resistance_predict()` function
-   * Conduct descriptive statistics to enhance base R: calculate `kurtosis()`, `skewness()` and create frequency tables with `freq()`
 
 4. It **teaches the user** how to use all the above actions.
 
diff --git a/man/freq.Rd b/man/freq.Rd
deleted file mode 100755
index cafaf4ae..00000000
--- a/man/freq.Rd
+++ /dev/null
@@ -1,234 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/freq.R
-\name{freq}
-\alias{freq}
-\alias{frequency_tbl}
-\alias{top_freq}
-\alias{header}
-\alias{print.freq}
-\title{Frequency table}
-\usage{
-freq(x, ..., sort.count = TRUE, nmax = getOption("max.print.freq"),
-  na.rm = TRUE, row.names = TRUE, markdown = !interactive(),
-  digits = 2, quote = NULL, header = TRUE, title = NULL,
-  na = "<NA>", droplevels = TRUE, sep = " ",
-  decimal.mark = getOption("OutDec"), big.mark = ifelse(decimal.mark !=
-  ",", ",", "."))
-
-frequency_tbl(x, ..., sort.count = TRUE,
-  nmax = getOption("max.print.freq"), na.rm = TRUE, row.names = TRUE,
-  markdown = !interactive(), digits = 2, quote = NULL,
-  header = TRUE, title = NULL, na = "<NA>", droplevels = TRUE,
-  sep = " ", decimal.mark = getOption("OutDec"),
-  big.mark = ifelse(decimal.mark != ",", ",", "."))
-
-top_freq(f, n)
-
-header(f, property = NULL)
-
-\method{print}{freq}(x, nmax = getOption("max.print.freq", default = 15),
-  markdown = !interactive(), header = TRUE,
-  decimal.mark = getOption("OutDec"), big.mark = ifelse(decimal.mark !=
-  ",", ",", "."), ...)
-}
-\arguments{
-\item{x}{vector of any class or a \code{\link{data.frame}}, \code{\link{tibble}} (may contain a grouping variable) or \code{\link{table}}}
-
-\item{...}{up to nine different columns of \code{x} when \code{x} is a \code{data.frame} or \code{tibble}, to calculate frequencies from - see Examples. Also supports quasiquotion.}
-
-\item{sort.count}{sort on count, i.e. frequencies. This will be \code{TRUE} at default for everything except when using grouping variables.}
-
-\item{nmax}{number of row to print. The default, \code{15}, uses \code{\link{getOption}("max.print.freq")}. Use \code{nmax = 0}, \code{nmax = Inf}, \code{nmax = NULL} or \code{nmax = NA} to print all rows.}
-
-\item{na.rm}{a logical value indicating whether \code{NA} values should be removed from the frequency table. The header (if set) will always print the amount of \code{NA}s.}
-
-\item{row.names}{a logical value indicating whether row indices should be printed as \code{1:nrow(x)}}
-
-\item{markdown}{a logical value indicating whether the frequency table should be printed in markdown format. This will print all rows (except when \code{nmax} is defined) and is default behaviour in non-interactive R sessions (like when knitting RMarkdown files).}
-
-\item{digits}{how many significant digits are to be used for numeric values in the header (not for the items themselves, that depends on \code{\link{getOption}("digits")})}
-
-\item{quote}{a logical value indicating whether or not strings should be printed with surrounding quotes. Default is to print them only around characters that are actually numeric values.}
-
-\item{header}{a logical value indicating whether an informative header should be printed}
-
-\item{title}{text to show above frequency table, at default to tries to coerce from the variables passed to \code{x}}
-
-\item{na}{a character string that should be used to show empty (\code{NA}) values (only useful when \code{na.rm = FALSE})}
-
-\item{droplevels}{a logical value indicating whether in factors empty levels should be dropped}
-
-\item{sep}{a character string to separate the terms when selecting multiple columns}
-
-\item{decimal.mark}{%
-    used for prettying (longish) numerical and complex sequences.
-    Passed to \code{\link{prettyNum}}: that help page explains the details.}
-
-\item{big.mark}{%
-    used for prettying (longish) numerical and complex sequences.
-    Passed to \code{\link{prettyNum}}: that help page explains the details.}
-
-\item{f}{a frequency table}
-
-\item{n}{number of top \emph{n} items to return, use -n for the bottom \emph{n} items. It will include more than \code{n} rows if there are ties.}
-
-\item{property}{property in header to return this value directly}
-}
-\value{
-A \code{data.frame} (with an additional class \code{"freq"}) with five columns: \code{item}, \code{count}, \code{percent}, \code{cum_count} and \code{cum_percent}.
-}
-\description{
-Create a frequency table of a vector with items or a \code{data.frame}. Supports quasiquotation and markdown for reports. Best practice is: \code{data \%>\% freq(var)}.\cr
-\code{top_freq} can be used to get the top/bottom \emph{n} items of a frequency table, with counts as names.
-}
-\details{
-Frequency tables (or frequency distributions) are summaries of the distribution of values in a sample. With the `freq` function, you can create univariate frequency tables. Multiple variables will be pasted into one variable, so it forces a univariate distribution. This package also has a vignette available to explain the use of this function further, run \code{browseVignettes("AMR")} to read it.
-
-For numeric values of any class, these additional values will all be calculated with \code{na.rm = TRUE} and shown into the header:
-\itemize{
-  \item{Mean, using \code{\link[base]{mean}}}
-  \item{Standard Deviation, using \code{\link[stats]{sd}}}
-  \item{Coefficient of Variation (CV), the standard deviation divided by the mean}
-  \item{Mean Absolute Deviation (MAD), using \code{\link[stats]{mad}}}
-  \item{Tukey Five-Number Summaries (minimum, Q1, median, Q3, maximum), using \code{\link[stats]{fivenum}}}
-  \item{Interquartile Range (IQR) calculated as \code{Q3 - Q1} using the Tukey Five-Number Summaries, i.e. \strong{not} using the \code{\link[stats]{quantile}} function}
-  \item{Coefficient of Quartile Variation (CQV, sometimes called coefficient of dispersion), calculated as \code{(Q3 - Q1) / (Q3 + Q1)} using the Tukey Five-Number Summaries}
-  \item{Outliers (total count and unique count), using \code{\link[grDevices]{boxplot.stats}}}
-}
-
-For dates and times of any class, these additional values will be calculated with \code{na.rm = TRUE} and shown into the header:
-\itemize{
-  \item{Oldest, using \code{\link{min}}}
-  \item{Newest, using \code{\link{max}}, with difference between newest and oldest}
-  \item{Median, using \code{\link[stats]{median}}, with percentage since oldest}
-}
-
-In factors, all factor levels that are not existing in the input data will be dropped.
-
-The function \code{top_freq} uses \code{\link[dplyr]{top_n}} internally and will include more than \code{n} rows if there are ties.
-}
-\section{Read more on our website!}{
-
-On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
-}
-
-\examples{
-library(dplyr)
-
-# this all gives the same result:
-freq(septic_patients$hospital_id)
-freq(septic_patients[, "hospital_id"])
-septic_patients$hospital_id \%>\% freq()
-septic_patients[, "hospital_id"] \%>\% freq()
-septic_patients \%>\% freq("hospital_id")
-septic_patients \%>\% freq(hospital_id)  #<- easiest to remember (tidyverse)
-
-
-# you could also use `select` or `pull` to get your variables
-septic_patients \%>\%
-  filter(hospital_id == "A") \%>\%
-  select(mo) \%>\%
-  freq()
-
-
-# multiple selected variables will be pasted together
-septic_patients \%>\%
-  left_join_microorganisms \%>\%
-  freq(genus, species)
-
-# functions as quasiquotation are also supported
-septic_patients \%>\%
-  freq(mo_genus(mo), mo_species(mo))
-
-
-# group a variable and analyse another
-septic_patients \%>\%
-  group_by(hospital_id) \%>\%
-  freq(gender)
-
-
-# get top 10 bugs of hospital A as a vector
-septic_patients \%>\%
-  filter(hospital_id == "A") \%>\%
-  freq(mo) \%>\%
-  top_freq(10)
-
-
-# save frequency table to an object
-years <- septic_patients \%>\%
-  mutate(year = format(date, "\%Y")) \%>\%
-  freq(year)
-
-
-# show only the top 5
-years \%>\% print(nmax = 5)
-
-
-# save to an object with formatted percentages
-years <- format(years)
-
-
-# print a histogram of numeric values
-septic_patients \%>\%
-  freq(age) \%>\%
-  hist()
-
-# or a boxplot of numeric values
-septic_patients \%>\%
-  freq(age) \%>\%
-  boxplot()
-
-# or even a boxplot per group
-septic_patients \%>\%
-  group_by(hospital_id) \%>\%
-  freq(age) \%>\%
-  boxplot()
-
-# or print all points to a regular plot
-septic_patients \%>\%
-  freq(age) \%>\%
-  plot()
-
-
-# transform to a data.frame or tibble
-septic_patients \%>\%
-  freq(age) \%>\%
-  as.data.frame()
-
-
-# or transform (back) to a vector
-septic_patients \%>\%
-  freq(age) \%>\%
-  as.vector()
-
-identical(septic_patients \%>\%
-            freq(age) \%>\%
-            as.vector() \%>\%
-            sort(),
-          sort(septic_patients$age)) # TRUE
-
-
-# it also supports `table` objects
-table(septic_patients$gender,
-      septic_patients$age) \%>\%
-  freq(sep = " **sep** ")
-
-
-# only get selected columns
-septic_patients \%>\%
-  freq(hospital_id) \%>\%
-  select(item, percent)
-
-septic_patients \%>\%
-  freq(hospital_id) \%>\%
-  select(-count, -cum_count)
-
-
-# check differences between frequency tables
-diff(freq(septic_patients$TMP),
-     freq(septic_patients$SXT))
-}
-\keyword{freq}
-\keyword{frequency}
-\keyword{summarise}
-\keyword{summary}
diff --git a/tests/testthat/test-freq.R b/tests/testthat/test-freq.R
index 8e95ad03..02ebd32e 100755
--- a/tests/testthat/test-freq.R
+++ b/tests/testthat/test-freq.R
@@ -22,168 +22,10 @@
 context("freq.R")
 
 test_that("frequency table works", {
-  library(dplyr)
-
-  expect_equal(nrow(freq(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
-  expect_equal(nrow(frequency_tbl(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
-
-  # date column of septic_patients should contain 1140 unique dates
-  expect_equal(nrow(freq(septic_patients$date)), 1140)
-  expect_equal(nrow(freq(septic_patients$date)),
-               length(unique(septic_patients$date)))
-
-  expect_output(print(septic_patients %>% freq(age)))
-  expect_output(print(septic_patients %>% freq(age, nmax = 5)))
-  expect_output(print(septic_patients %>% freq(age, nmax = Inf, markdown = FALSE)))
-  expect_output(print(freq(septic_patients$age, nmax = Inf)))
-  expect_output(print(freq(septic_patients$age, nmax = NA)))
-  expect_output(print(freq(septic_patients$age, nmax = NULL)))
-  expect_output(print(freq(septic_patients$age, sort.count = FALSE)))
-  expect_output(print(freq(septic_patients$age, markdown = TRUE)))
-  expect_output(print(freq(septic_patients$age, markdown = TRUE), markdown = FALSE))
-  expect_output(print(freq(septic_patients$age, markdown = TRUE), markdown = TRUE))
-  expect_output(print(freq(septic_patients$age[0])))
-  expect_output(print(freq(septic_patients$age, quote = TRUE)))
-  expect_output(print(freq(septic_patients$age, markdown = TRUE, title = "TITLE")))
-
-  # character
-  expect_output(print(freq(microorganisms$genus)))
-  expect_output(print(structure(freq(microorganisms$genus),
-                                # check printing of old class:
-                                class = c("frequency_tbl", "data.frame"))))
+  library(clean)
   # mo
   expect_output(print(freq(septic_patients$mo)))
   # rsi
   expect_output(print(freq(septic_patients$AMX)))
-  # integer
-  expect_output(print(freq(septic_patients$age)))
-  # date
-  expect_output(print(freq(septic_patients$date)))
-  # factor
-  expect_output(print(freq(septic_patients$hospital_id)))
-  # table
-  expect_output(print(freq(table(septic_patients$gender, septic_patients$age))))
-  # rsi
-  expect_output(print(freq(septic_patients$AMC)))
-  # hms
-  expect_output(print(freq(hms::as.hms(sample(c(0:86399), 50)))))
-  # matrix
-  expect_output(print(freq(as.matrix(septic_patients$age))))
-  expect_output(print(freq(as.matrix(septic_patients[, c("age", "gender")]))))
-  # list
-  expect_output(print(freq(list(age = septic_patients$age))))
-  expect_output(print(freq(list(age = septic_patients$age, gender = septic_patients$gender))))
-  # difftime
-  expect_output(print(
-    freq(difftime(Sys.time(),
-                  Sys.time() - runif(5, min = 0, max = 60 * 60 * 24),
-                  units = "hours"))))
-
-  expect_output(print(freq(septic_patients$age)[,1:3]))
-
-  library(dplyr)
-  expect_output(septic_patients %>% select(1:2) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:3) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:4) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:5) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:6) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:7) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:8) %>% freq() %>% print())
-  expect_output(septic_patients %>% select(1:9) %>% freq() %>% print())
-  expect_output(print(freq(septic_patients$age), nmax = 20))
-
-  # grouping variable
-  expect_output(print(septic_patients %>% group_by(gender) %>% freq(hospital_id)))
-  expect_output(print(septic_patients %>% group_by(gender) %>% freq(AMX, quote = TRUE)))
-  expect_output(print(septic_patients %>% group_by(gender) %>% freq(AMX, markdown = TRUE)))
-
-  # quasiquotation
-  expect_output(print(septic_patients %>% freq(mo_genus(mo))))
-  expect_output(print(septic_patients %>% freq(mo, mo_genus(mo))))
-  expect_output(print(septic_patients %>% group_by(gender) %>% freq(mo_genus(mo))))
-  expect_output(print(septic_patients %>% group_by(gender) %>% freq(mo, mo_genus(mo))))
-
-  # top 5
-  expect_equal(
-    septic_patients %>%
-      freq(mo) %>%
-      top_freq(5) %>%
-      length(),
-    5)
-  # there are more than 5 lowest values
-  expect_gt(
-    septic_patients %>%
-      freq(mo) %>%
-      top_freq(-5) %>%
-      length(),
-    5)
-  # n has length > 1
-  expect_error(
-    septic_patients %>%
-      freq(mo) %>%
-      top_freq(n = c(1, 2))
-  )
-  # input must be freq tbl
-  expect_error(septic_patients %>% top_freq(1))
-
-  # charts from plot, hist and boxplot, should not raise errors
-  plot(freq(septic_patients, age))
-  hist(freq(septic_patients, age))
-  boxplot(freq(septic_patients, age))
-  boxplot(freq(dplyr::group_by(septic_patients, gender), age))
-
-  # check vector
-  expect_identical(septic_patients %>%
-                     freq(age) %>%
-                     as.vector() %>%
-                     sort(),
-                   septic_patients %>%
-                     pull(age) %>%
-                     sort())
-
-  # check format
-  expect_identical(septic_patients %>%
-                     freq(age) %>%
-                     format() %>%
-                     apply(2, class) %>%
-                     unname(),
-                   rep("character", 5))
-
-  # check tibble
-  expect_identical(septic_patients %>%
-                     freq(age) %>%
-                     as_tibble() %>%
-                     class() %>%
-                     .[1],
-                   "tbl_df")
-
-  expect_error(septic_patients %>% freq(nonexisting))
-  expect_error(septic_patients %>% select(1:10) %>% freq())
-  expect_error(septic_patients %>% freq(peni, oxac, clox, AMX, AMC,
-                                        ampi, pita, czol, cfep, cfur))
-
-  # (un)select columns
-  expect_equal(septic_patients %>% freq(hospital_id) %>% select(item) %>% ncol(),
-               1)
-  expect_equal(septic_patients %>% freq(hospital_id) %>% select(-item) %>% ncol(),
-               4)
-
-  # run diff
-  expect_output(print(
-    diff(freq(septic_patients$AMC),
-         freq(septic_patients$AMX))
-  ))
-  expect_output(print(
-    diff(freq(septic_patients$age),
-         freq(septic_patients$age)) # "No differences found."
-  ))
-  expect_error(print(
-    diff(freq(septic_patients$AMX),
-         "Just a string") # not a freq tbl
-  ))
-
-  # directly on group
-  expect_output(print(septic_patients %>% group_by(ageplusone = as.character(age + 1)) %>% freq(ageplusone)))
-
 })
 
diff --git a/vignettes/AMR.Rmd b/vignettes/AMR.Rmd
index 97fbef2e..4dce8bf3 100755
--- a/vignettes/AMR.Rmd
+++ b/vignettes/AMR.Rmd
@@ -144,7 +144,14 @@ knitr::kable(head(data), align = "c")
 Now, let's start the cleaning and the analysis!
 
 # Cleaning the data
-Use the frequency table function `freq()` to look specifically for unique values in any variable. For example, for the `gender` variable:
+
+We also created a package dedicated to data cleaning and checking, called the `clean` package. It gets automatically installed with the `AMR` package, so we only have to load it:
+
+```{r lib clean, message = FALSE}
+library(clean)
+```
+
+Use the frequency table function `freq()` from this `clean` package to look specifically for unique values in any variable. For example, for the `gender` variable:
 
 ```{r freq gender 1, eval = FALSE}
 data %>% freq(gender) # this would be the same: freq(data$gender)
diff --git a/vignettes/MDR.Rmd b/vignettes/MDR.Rmd
index 356389b6..601e2988 100644
--- a/vignettes/MDR.Rmd
+++ b/vignettes/MDR.Rmd
@@ -72,7 +72,13 @@ We can now add the interpretation of MDR-TB to our data set:
 my_TB_data$mdr <- mdr_tb(my_TB_data)
 ```
 
-And review the result with a frequency table:
+We also created a package dedicated to data cleaning and checking, called the `clean` package. It gets automatically installed with the `AMR` package, so we only have to load it:
+
+```{r lib clean, message = FALSE}
+library(clean)
+```
+
+It contains the `freq()` function, to create a frequency table:
 
 ```{r, results = 'asis'}
 freq(my_TB_data$mdr)
diff --git a/vignettes/WHONET.Rmd b/vignettes/WHONET.Rmd
index 667bdc5d..6dda5603 100644
--- a/vignettes/WHONET.Rmd
+++ b/vignettes/WHONET.Rmd
@@ -60,7 +60,17 @@ data <- WHONET %>%
   mutate_at(vars(AMP_ND10:CIP_EE), as.rsi)
 ```
 
-No errors or warnings, so all values are transformed succesfully. Let's check it though, with a couple of frequency tables:
+No errors or warnings, so all values are transformed succesfully.
+
+We created a package dedicated to data cleaning and checking, called the `clean` package. It gets automatically installed with the `AMR` package, so we only have to load it:
+
+```{r lib clean, message = FALSE}
+library(clean)
+```
+
+It contains the `freq()` function, to create frequency tables. 
+
+So let's check our data, with a couple of frequency tables:
 
 ```{r, results = 'asis'}
 # our newly created `mo` variable
diff --git a/vignettes/freq.Rmd b/vignettes/freq.Rmd
deleted file mode 100644
index e450dc2d..00000000
--- a/vignettes/freq.Rmd
+++ /dev/null
@@ -1,182 +0,0 @@
----
-title: "How to create frequency tables"
-author: "Matthijs S. Berends"
-date: '`r format(Sys.Date(), "%d %B %Y")`'
-output: 
-  rmarkdown::html_vignette:
-    toc: true
-    toc_depth: 3
-vignette: >
-  %\VignetteIndexEntry{How to create frequency tables}
-  %\VignetteEncoding{UTF-8}
-  %\VignetteEngine{knitr::rmarkdown}
-editor_options: 
-  chunk_output_type: console
----
-
-```{r setup, include = FALSE, results = 'asis'}
-knitr::opts_chunk$set(
-  collapse = TRUE,
-  comment = "#",
-  results = 'asis',
-  fig.width = 7.5,
-  fig.height = 4.5
-)
-library(dplyr)
-library(AMR)
-```
-
-## Introduction
-
-Frequency tables (or frequency distributions) are summaries of the distribution of values in a sample. With the `freq()` function, you can create univariate frequency tables. Multiple variables will be pasted into one variable, so it forces a univariate distribution. We take the `septic_patients` dataset (included in this AMR package) as example.
-
-## Frequencies of one variable
-
-To only show and quickly review the content of one variable, you can just select this variable in various ways. Let's say we want to get the frequencies of the `gender` variable of the `septic_patients` dataset:
-```{r, echo = TRUE}
-# Any of these will work:
-# freq(septic_patients$gender)
-# freq(septic_patients[, "gender"])
-
-# Using tidyverse:
-# septic_patients$gender %>% freq()
-# septic_patients[, "gender"] %>% freq()
-# septic_patients %>% freq("gender")
-
-# Probably the fastest and easiest:
-septic_patients %>% freq(gender)  
-```
-This immediately shows the class of the variable, its length and availability (i.e. the amount of `NA`), the amount of unique values and (most importantly) that among septic patients men are more prevalent than women.
-
-## Frequencies of more than one variable
-
-Multiple variables will be pasted into one variable to review individual cases, keeping a univariate frequency table.
-
-For illustration, we could add some more variables to the `septic_patients` dataset to learn about bacterial properties:
-```{r, echo = TRUE, results = 'hide'}
-my_patients <- septic_patients %>% left_join_microorganisms()
-```
-Now all variables of the `microorganisms` dataset have been joined to the `septic_patients` dataset. The `microorganisms` dataset consists of the following variables:
-```{r, echo = TRUE, results = 'markup'}
-colnames(microorganisms)
-```
-
-If we compare the dimensions between the old and new dataset, we can see that these `r ncol(my_patients) - ncol(septic_patients)` variables were added:
-```{r, echo = TRUE, results = 'markup'}
-dim(septic_patients)
-dim(my_patients)
-```
-
-So now the `genus` and `species` variables are available. A frequency table of these combined variables can be created like this:
-```{r, echo = TRUE}
-my_patients %>%
-  freq(genus, species, nmax = 15)
-```
-
-## Frequencies of numeric values
-
-Frequency tables can be created of any input.
-
-In case of numeric values (like integers, doubles, etc.) additional descriptive statistics will be calculated and shown into the header:
-
-```{r, echo = TRUE}
-# # get age distribution of unique patients
-septic_patients %>% 
-  distinct(patient_id, .keep_all = TRUE) %>% 
-  freq(age, nmax = 5, header = TRUE)
-```
-
-So the following properties are determined, where `NA` values are always ignored:
-
-* **Mean**
-
-* **Standard deviation**
-
-* **Coefficient of variation** (CV), the standard deviation divided by the mean
-
-* **Mean absolute deviation** (MAD), the median of the absolute deviations from the median - a more robust statistic than the standard deviation
-
-* **Five numbers of Tukey**, namely: the minimum, Q1, median, Q3 and maximum
-
-* **Interquartile range** (IQR), the distance between Q1 and Q3
-
-* **Coefficient of quartile variation** (CQV, sometimes called *coefficient of dispersion*), calculated as (Q3 - Q1) / (Q3 + Q1) using `quantile()` with `type = 6` as quantile algorithm to comply with SPSS standards
-
-* **Outliers** (total count and unique count)
-
-So for example, the above frequency table quickly shows the median age of patients being `r my_patients %>% distinct(patient_id, .keep_all = TRUE) %>% pull(age) %>% median(na.rm = TRUE)`.
-
-## Frequencies of factors
-
-To sort frequencies of factors on their levels instead of item count, use the `sort.count` parameter. 
-
-`sort.count` is `TRUE` by default. Compare this default behaviour...
-
-```{r, echo = TRUE}
-septic_patients %>%
-  freq(hospital_id)
-```
-
-... to this, where items are now sorted on factor levels:
-
-```{r, echo = TRUE}
-septic_patients %>%
-  freq(hospital_id, sort.count = FALSE)
-```
-
-All classes will be printed into the header. Variables with the new `rsi` class of this AMR package are actually ordered factors and have three classes (look at `Class` in the header):
-
-```{r, echo = TRUE}
-septic_patients %>%
-  freq(AMX, header = TRUE)
-```
-
-## Frequencies of dates
-
-Frequencies of dates will show the oldest and newest date in the data, and the amount of days between them:
-
-```{r, echo = TRUE}
-septic_patients %>%
-  freq(date, nmax = 5, header = TRUE)
-```
-
-## Assigning a frequency table to an object
-
-A frequency table is actually a regular `data.frame`, with the exception that it contains an additional class.
-
-```{r, echo = TRUE}
-my_df <- septic_patients %>% freq(age)
-class(my_df)
-```
-
-Because of this additional class, a frequency table prints like the examples above. But the object itself contains the complete table without a row limitation:
-
-```{r, echo = TRUE}
-dim(my_df)
-```
-
-## Additional parameters
-
-### Parameter `na.rm`
-With the `na.rm` parameter you can remove `NA` values from the frequency table (defaults to `TRUE`, but the number of `NA` values will always be shown into the header):
-
-```{r, echo = TRUE}
-septic_patients %>%
-  freq(AMX, na.rm = FALSE)
-```
-
-### Parameter `row.names`
-A frequency table shows row indices. To remove them, use `row.names = FALSE`:
-
-```{r, echo = TRUE}
-septic_patients %>%
-  freq(hospital_id, row.names = FALSE)
-```
-
-### Parameter `markdown`
-The `markdown` parameter is `TRUE` at default in non-interactive sessions, like in reports created with R Markdown. This will always print all rows, unless `nmax` is set. Without markdown (like in regular R), a frequency table would print like:
-
-```{r, echo = TRUE, results = 'markup'}
-septic_patients %>%
-  freq(hospital_id, markdown = FALSE)
-```

From b7e2d7b9b82381d56ef23b2c8c059a8c7df3090e Mon Sep 17 00:00:00 2001
From: "Matthijs S. Berends" <berendsms@gmail.com>
Date: Mon, 29 Jul 2019 17:34:57 +0200
Subject: [PATCH 3/4] (v0.7.1.9016) deps

---
 DESCRIPTION                | 2 +-
 NAMESPACE                  | 3 +++
 NEWS.md                    | 2 +-
 R/first_isolate.R          | 2 +-
 R/mic.R                    | 2 ++
 R/mo.R                     | 1 +
 R/resistance_predict.R     | 2 +-
 R/rsi.R                    | 4 +++-
 docs/LICENSE-text.html     | 2 +-
 docs/articles/index.html   | 2 +-
 docs/authors.html          | 2 +-
 docs/index.html            | 2 +-
 docs/news/index.html       | 8 ++++----
 docs/reference/as.mic.html | 6 ++++--
 docs/reference/as.rsi.html | 6 ++++--
 docs/reference/index.html  | 2 +-
 man/as.mic.Rd              | 2 ++
 man/as.rsi.Rd              | 2 ++
 18 files changed, 34 insertions(+), 18 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index beb819a6..2bbf0a14 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: AMR
-Version: 0.7.1.9015
+Version: 0.7.1.9016
 Date: 2019-07-29
 Title: Antimicrobial Resistance Analysis
 Authors@R: c(
diff --git a/NAMESPACE b/NAMESPACE
index 42b15afb..16953cd9 100755
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -196,6 +196,7 @@ exportMethods(summary.mic)
 exportMethods(summary.mo)
 exportMethods(summary.rsi)
 importFrom(clean,freq)
+importFrom(clean,top_freq)
 importFrom(crayon,bgGreen)
 importFrom(crayon,bgRed)
 importFrom(crayon,bgYellow)
@@ -222,6 +223,7 @@ importFrom(dplyr,arrange_at)
 importFrom(dplyr,between)
 importFrom(dplyr,bind_rows)
 importFrom(dplyr,case_when)
+importFrom(dplyr,desc)
 importFrom(dplyr,distinct)
 importFrom(dplyr,everything)
 importFrom(dplyr,filter)
@@ -250,6 +252,7 @@ importFrom(dplyr,summarise)
 importFrom(dplyr,summarise_if)
 importFrom(dplyr,tibble)
 importFrom(dplyr,transmute)
+importFrom(dplyr,ungroup)
 importFrom(dplyr,vars)
 importFrom(graphics,arrows)
 importFrom(graphics,axis)
diff --git a/NEWS.md b/NEWS.md
index 4dee93cc..43191e47 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 0.7.1.9015
+# AMR 0.7.1.9016
 
 ### Breaking
 * Function `freq()` has moved to a new package, [`clean`](https://github.com/msberends/clean) ([CRAN link](https://cran.r-project.org/package=clean)). Creating frequency tables is actually not the scope of this package (never was) and this function has matured  a lot over the last two years. We decided to create a new package for data cleaning and checking and it perfectly fits the `freq()` function. The [`clean`](https://github.com/msberends/clean) package is available on CRAN and will be installed automatically when updating the `AMR` package, that now imports it. In a later stage, the `skewness()` and `kurtosis()` functions will be moved to the `clean` package too.
diff --git a/R/first_isolate.R b/R/first_isolate.R
index ba95f4a1..2625e455 100755
--- a/R/first_isolate.R
+++ b/R/first_isolate.R
@@ -70,7 +70,7 @@
 #' @keywords isolate isolates first
 #' @seealso \code{\link{key_antibiotics}}
 #' @export
-#' @importFrom dplyr arrange_at lag between row_number filter mutate arrange pull
+#' @importFrom dplyr arrange_at lag between row_number filter mutate arrange pull ungroup
 #' @importFrom crayon blue bold silver
 #' @return Logical vector
 #' @source Methodology of this function is based on: \strong{M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 4th Edition}, 2014, \emph{Clinical and Laboratory Standards Institute (CLSI)}. \url{https://clsi.org/standards/products/microbiology/documents/m39/}.
diff --git a/R/mic.R b/R/mic.R
index b88647f6..f8222e9b 100755
--- a/R/mic.R
+++ b/R/mic.R
@@ -51,6 +51,8 @@
 #'
 #' plot(mic_data)
 #' barplot(mic_data)
+#' 
+#' library(clean)
 #' freq(mic_data)
 as.mic <- function(x, na.rm = FALSE) {
   if (is.mic(x)) {
diff --git a/R/mo.R b/R/mo.R
index da13af6f..bf14e7af 100755
--- a/R/mo.R
+++ b/R/mo.R
@@ -1412,6 +1412,7 @@ print.mo <- function(x, ...) {
 
 #' @exportMethod summary.mo
 #' @importFrom dplyr n_distinct
+#' @importFrom clean freq top_freq
 #' @export
 #' @noRd
 summary.mo <- function(object, ...) {
diff --git a/R/resistance_predict.R b/R/resistance_predict.R
index b4a97706..80110d54 100755
--- a/R/resistance_predict.R
+++ b/R/resistance_predict.R
@@ -58,7 +58,7 @@
 #' @rdname resistance_predict
 #' @export
 #' @importFrom stats predict glm lm
-#' @importFrom dplyr %>% pull mutate mutate_at n group_by_at summarise filter filter_at all_vars n_distinct arrange case_when n_groups transmute
+#' @importFrom dplyr %>% pull mutate mutate_at n group_by_at summarise filter filter_at all_vars n_distinct arrange case_when n_groups transmute ungroup
 #' @inheritSection AMR Read more on our website!
 #' @examples
 #' x <- resistance_predict(septic_patients, col_ab = "AMX", year_min = 2010)
diff --git a/R/rsi.R b/R/rsi.R
index 3abec415..39178ba6 100755
--- a/R/rsi.R
+++ b/R/rsi.R
@@ -50,7 +50,7 @@
 #' @return Ordered factor with new class \code{rsi}
 #' @keywords rsi
 #' @export
-#' @importFrom dplyr %>%
+#' @importFrom dplyr %>% desc arrange filter 
 #' @seealso \code{\link{as.mic}}
 #' @inheritSection AMR Read more on our website!
 #' @examples
@@ -73,6 +73,8 @@
 #'
 #' plot(rsi_data)    # for percentages
 #' barplot(rsi_data) # for frequencies
+#' 
+#' library(clean)
 #' freq(rsi_data)    # frequency table with informative header
 #'
 #' # using dplyr's mutate
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index 9aba1cdb..74bc4851 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
diff --git a/docs/articles/index.html b/docs/articles/index.html
index b6c61875..cfaa3525 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
diff --git a/docs/authors.html b/docs/authors.html
index 5150acd4..99804da6 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
diff --git a/docs/index.html b/docs/index.html
index 9fc450e4..0626c136 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -42,7 +42,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
diff --git a/docs/news/index.html b/docs/news/index.html
index 5efeb137..e368a07d 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
@@ -225,9 +225,9 @@
       
     </div>
 
-    <div id="amr-0-7-1-9015" class="section level1">
+    <div id="amr-0-7-1-9016" class="section level1">
 <h1 class="page-header">
-<a href="#amr-0-7-1-9015" class="anchor"></a>AMR 0.7.1.9015<small> Unreleased </small>
+<a href="#amr-0-7-1-9016" class="anchor"></a>AMR 0.7.1.9016<small> Unreleased </small>
 </h1>
 <div id="breaking" class="section level3">
 <h3 class="hasAnchor">
@@ -1198,7 +1198,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
     <div id="tocnav">
       <h2>Contents</h2>
       <ul class="nav nav-pills nav-stacked">
-        <li><a href="#amr-0-7-1-9015">0.7.1.9015</a></li>
+        <li><a href="#amr-0-7-1-9016">0.7.1.9016</a></li>
         <li><a href="#amr-0-7-1">0.7.1</a></li>
         <li><a href="#amr-0-7-0">0.7.0</a></li>
         <li><a href="#amr-0-6-1">0.6.1</a></li>
diff --git a/docs/reference/as.mic.html b/docs/reference/as.mic.html
index 36e36c04..0bf7e71e 100644
--- a/docs/reference/as.mic.html
+++ b/docs/reference/as.mic.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
@@ -289,7 +289,9 @@
 
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>mic_data</span>)
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/barplot'>barplot</a></span>(<span class='no'>mic_data</span>)
-<span class='fu'>freq</span>(<span class='no'>mic_data</span>)
+
+<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>clean</span>)
+<span class='fu'><a href='https://www.rdocumentation.org/packages/clean/topics/freq'>freq</a></span>(<span class='no'>mic_data</span>)
 <span class='co'># }</span></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
diff --git a/docs/reference/as.rsi.html b/docs/reference/as.rsi.html
index 94dc2e51..4127a7f8 100644
--- a/docs/reference/as.rsi.html
+++ b/docs/reference/as.rsi.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
@@ -336,7 +336,9 @@
 
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/plot'>plot</a></span>(<span class='no'>rsi_data</span>)    <span class='co'># for percentages</span>
 <span class='fu'><a href='https://www.rdocumentation.org/packages/graphics/topics/barplot'>barplot</a></span>(<span class='no'>rsi_data</span>) <span class='co'># for frequencies</span>
-<span class='fu'>freq</span>(<span class='no'>rsi_data</span>)    <span class='co'># frequency table with informative header</span>
+
+<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>clean</span>)
+<span class='fu'><a href='https://www.rdocumentation.org/packages/clean/topics/freq'>freq</a></span>(<span class='no'>rsi_data</span>)    <span class='co'># frequency table with informative header</span>
 
 <span class='co'># using dplyr's mutate</span>
 <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>dplyr</span>)
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 4b797266..c94ded65 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9016</span>
       </span>
     </div>
 
diff --git a/man/as.mic.Rd b/man/as.mic.Rd
index 25a09b47..b46617e9 100755
--- a/man/as.mic.Rd
+++ b/man/as.mic.Rd
@@ -47,6 +47,8 @@ as.rsi(x = as.mic(4),
 
 plot(mic_data)
 barplot(mic_data)
+
+library(clean)
 freq(mic_data)
 }
 \seealso{
diff --git a/man/as.rsi.Rd b/man/as.rsi.Rd
index 2f19890e..5751e176 100755
--- a/man/as.rsi.Rd
+++ b/man/as.rsi.Rd
@@ -90,6 +90,8 @@ as.rsi(x = as.mic(4),
 
 plot(rsi_data)    # for percentages
 barplot(rsi_data) # for frequencies
+
+library(clean)
 freq(rsi_data)    # frequency table with informative header
 
 # using dplyr's mutate

From ec0ca20dee2ea7af6765b6d7b65285d487e42b3e Mon Sep 17 00:00:00 2001
From: "Matthijs S. Berends" <berendsms@gmail.com>
Date: Mon, 29 Jul 2019 21:20:26 +0200
Subject: [PATCH 4/4] (v0.7.1.9017) deps

---
 DESCRIPTION                                   | 2 +-
 NEWS.md                                       | 2 +-
 R/catalogue_of_life.R                         | 1 +
 docs/LICENSE-text.html                        | 2 +-
 docs/articles/index.html                      | 2 +-
 docs/authors.html                             | 2 +-
 docs/index.html                               | 2 +-
 docs/news/index.html                          | 8 ++++----
 docs/reference/catalogue_of_life_version.html | 7 ++++---
 docs/reference/index.html                     | 2 +-
 man/catalogue_of_life_version.Rd              | 1 +
 11 files changed, 17 insertions(+), 14 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 2bbf0a14..c5ccf815 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: AMR
-Version: 0.7.1.9016
+Version: 0.7.1.9017
 Date: 2019-07-29
 Title: Antimicrobial Resistance Analysis
 Authors@R: c(
diff --git a/NEWS.md b/NEWS.md
index 43191e47..115e8fa4 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 0.7.1.9016
+# AMR 0.7.1.9017
 
 ### Breaking
 * Function `freq()` has moved to a new package, [`clean`](https://github.com/msberends/clean) ([CRAN link](https://cran.r-project.org/package=clean)). Creating frequency tables is actually not the scope of this package (never was) and this function has matured  a lot over the last two years. We decided to create a new package for data cleaning and checking and it perfectly fits the `freq()` function. The [`clean`](https://github.com/msberends/clean) package is available on CRAN and will be installed automatically when updating the `AMR` package, that now imports it. In a later stage, the `skewness()` and `kurtosis()` functions will be moved to the `clean` package too.
diff --git a/R/catalogue_of_life.R b/R/catalogue_of_life.R
index f1073be8..0ec29f8a 100755
--- a/R/catalogue_of_life.R
+++ b/R/catalogue_of_life.R
@@ -90,6 +90,7 @@ NULL
 #' @export
 #' @examples
 #' library(dplyr)
+#' library(clean)
 #' microorganisms %>% freq(kingdom)
 #' microorganisms %>% group_by(kingdom) %>% freq(phylum, nmax = NULL)
 catalogue_of_life_version <- function() {
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index 74bc4851..cbbccb38 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9016</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
diff --git a/docs/articles/index.html b/docs/articles/index.html
index cfaa3525..b2efa0ef 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9016</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
diff --git a/docs/authors.html b/docs/authors.html
index 99804da6..4f73d2cf 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9016</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
diff --git a/docs/index.html b/docs/index.html
index 0626c136..dd20cc67 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -42,7 +42,7 @@
       </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">0.7.1.9016</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
diff --git a/docs/news/index.html b/docs/news/index.html
index e368a07d..366b2ef2 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9016</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
@@ -225,9 +225,9 @@
       
     </div>
 
-    <div id="amr-0-7-1-9016" class="section level1">
+    <div id="amr-0-7-1-9017" class="section level1">
 <h1 class="page-header">
-<a href="#amr-0-7-1-9016" class="anchor"></a>AMR 0.7.1.9016<small> Unreleased </small>
+<a href="#amr-0-7-1-9017" class="anchor"></a>AMR 0.7.1.9017<small> Unreleased </small>
 </h1>
 <div id="breaking" class="section level3">
 <h3 class="hasAnchor">
@@ -1198,7 +1198,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
     <div id="tocnav">
       <h2>Contents</h2>
       <ul class="nav nav-pills nav-stacked">
-        <li><a href="#amr-0-7-1-9016">0.7.1.9016</a></li>
+        <li><a href="#amr-0-7-1-9017">0.7.1.9017</a></li>
         <li><a href="#amr-0-7-1">0.7.1</a></li>
         <li><a href="#amr-0-7-0">0.7.0</a></li>
         <li><a href="#amr-0-6-1">0.6.1</a></li>
diff --git a/docs/reference/catalogue_of_life_version.html b/docs/reference/catalogue_of_life_version.html
index 8d77c96c..df53bbd8 100644
--- a/docs/reference/catalogue_of_life_version.html
+++ b/docs/reference/catalogue_of_life_version.html
@@ -80,7 +80,7 @@
       </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">0.7.1.9015</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
@@ -264,8 +264,9 @@ This package contains the complete taxonomic tree of almost all microorganisms (
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
     <pre class="examples"><span class='co'># NOT RUN {</span>
 <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>dplyr</span>)
-<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'>freq</span>(<span class='no'>kingdom</span>)
-<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>kingdom</span>) <span class='kw'>%&gt;%</span> <span class='fu'>freq</span>(<span class='no'>phylum</span>, <span class='kw'>nmax</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
+<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/library'>library</a></span>(<span class='no'>clean</span>)
+<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/clean/topics/freq'>freq</a></span>(<span class='no'>kingdom</span>)
+<span class='no'>microorganisms</span> <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/group_by.html'>group_by</a></span>(<span class='no'>kingdom</span>) <span class='kw'>%&gt;%</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/clean/topics/freq'>freq</a></span>(<span class='no'>phylum</span>, <span class='kw'>nmax</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)
 <span class='co'># }</span></pre>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
diff --git a/docs/reference/index.html b/docs/reference/index.html
index c94ded65..50c11da4 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -78,7 +78,7 @@
       </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">0.7.1.9016</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9017</span>
       </span>
     </div>
 
diff --git a/man/catalogue_of_life_version.Rd b/man/catalogue_of_life_version.Rd
index e9dde649..c39ce460 100644
--- a/man/catalogue_of_life_version.Rd
+++ b/man/catalogue_of_life_version.Rd
@@ -30,6 +30,7 @@ On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://
 
 \examples{
 library(dplyr)
+library(clean)
 microorganisms \%>\% freq(kingdom)
 microorganisms \%>\% group_by(kingdom) \%>\% freq(phylum, nmax = NULL)
 }