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 <meta name="author" content="Laurent Gatto" />
 
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diff --git a/docs/index.html b/docs/index.html
@@ -14,7 +14,7 @@
 
 <meta name="author" content="Laurent Gatto" />
 
-<meta name="date" content="2021-09-26" />
+<meta name="date" content="2021-09-27" />
 
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@@ -348,7 +349,7 @@ <h2>References and credits<div class="tooltip"><button class="internal-link-btn"
 data science with R</em>, was originally based on the <a href="https://datacarpentry.org/lessons/#ecology-workshop"><strong>Data Carpentry</strong>
 Ecology
 curiculum</a>
-<span class="citation">(<label for="tufte-mn-6" class="margin-toggle">⊕</label><input type="checkbox" id="tufte-mn-6" class="margin-toggle">Michonneau and Fournier 2019<span class="marginnote">Michonneau, Francois, and Auriel Fournier, eds. 2019. <span>“<span>Data Carpentry</span>: <span>R</span> for Data Analysis and Visualization of Ecological Data.”</span> <a href="https://doi.org/10.5281/zenodo.569338">https://doi.org/10.5281/zenodo.569338</a>.</span>)</span>. The main dataset by <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544260/">Blackmore <em>et al.</em>
+<span class="citation">(<label for="tufte-mn-6" class="margin-toggle">⊕</label><input type="checkbox" id="tufte-mn-6" class="margin-toggle">von Hardenberg et al. 2019<span class="marginnote">von Hardenberg, Achaz, Adam Obeng, Aleksandra Pawlik, Alex Pletzer, Alexey Shiklomanov, Anne Fouilloux, April Wright, et al. 2019. <span>“<span>Data Carpentry</span>: <span>R</span> for Data Analysis and Visualization of Ecological Data.”</span> Edited by Francois Michonneau and Auriel Fournier. <a href="https://doi.org/10.5281/zenodo.569338">https://doi.org/10.5281/zenodo.569338</a>.</span>)</span>. The main dataset by <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544260/">Blackmore <em>et al.</em>
 (2017)</a>,
 introduced in 2021, was prepared by the Bioconductor education group
 as part of their lesson development.</p>
@@ -436,7 +437,7 @@ <h2>Setup<div class="tooltip"><button class="internal-link-btn" onclick="copy_li
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 </p>
 <p class="build-date">Page built: 
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diff --git a/docs/sec-anx.html b/docs/sec-anx.html
@@ -14,7 +14,7 @@
 
 <meta name="author" content="Laurent Gatto" />
 
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diff --git a/docs/sec-bioinfo.html b/docs/sec-bioinfo.html
@@ -14,7 +14,7 @@
 
 <meta name="author" content="Laurent Gatto" />
 
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diff --git a/docs/sec-ccl.html b/docs/sec-ccl.html
@@ -14,7 +14,7 @@
 
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diff --git a/docs/sec-dataorg.html b/docs/sec-dataorg.html
@@ -14,7 +14,7 @@
 
 <meta name="author" content="Laurent Gatto" />
 
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 will depend on the software you use to analyze your data. It is
 essential to use a clearly defined and consistent null indicator.</p>
 <p>Blanks (most applications) and NA (for R) are good
-choices. <span class="citation"><label for="tufte-mn-17" class="margin-toggle">⊕</label><input type="checkbox" id="tufte-mn-17" class="margin-toggle">White et al. (2013)<span class="marginnote">White, Ethan P., Elita Baldridge, Zachary T. Brym, Kenneth J. Locey, Daniel J. McGlinn, and Sarah R. Supp. 2013. <span>“Nine Simple Ways to Make It Easier to (re)use Your Data.”</span> <em>PeerJ PrePrints</em> 1 (July): e7v2. <a href="https://doi.org/10.7287/peerj.preprints.7v2">https://doi.org/10.7287/peerj.preprints.7v2</a>.</span></span> explain good choices for indicating null values
+choices. <span class="citation"><label for="tufte-mn-17" class="margin-toggle">⊕</label><input type="checkbox" id="tufte-mn-17" class="margin-toggle">White et al. (2013)<span class="marginnote">White, Ethan P., Elita Baldridge, Zachary T. Brym, Kenneth J. Locey, Daniel J. McGlinn, and Sarah R. Supp. 2013. <span>“Nine Simple Ways to Make It Easier to (Re)use Your Data.”</span> <em>PeerJ PrePrints</em> 1 (July): e7v2. <a href="https://doi.org/10.7287/peerj.preprints.7v2">https://doi.org/10.7287/peerj.preprints.7v2</a>.</span></span> explain good choices for indicating null values
 for different software applications in their article:</p>
 <p><img src="figs/3_white_table_1.jpg"></p>
 </div>
@@ -1001,7 +1002,7 @@ <h3>Caveats on commas<div class="tooltip"><button class="internal-link-btn" oncl
 where the value for ‘taxa’ contained the comma) is now incorrect.</p>
 <p>If you want to store your data in <code>csv</code> format and expect that your
 data values may contain commas, you can avoid the problem discussed
-above by putting the values in quotes (""). Applying this rule, our
+above by putting the values in quotes (““). Applying this rule, our
 data might look like this:</p>
 <pre><code>species_id,genus,species,taxa
 "AB","Amphispiza","bilineata","Bird"
@@ -1021,12 +1022,12 @@ <h3>Caveats on commas<div class="tooltip"><button class="internal-link-btn" oncl
 working with TSV files. TSV files can be exported from spreadsheet
 programs in the same way as CSV files.</p>
 <p>If you are working with an already existing dataset in which the data
-values are not included in "" but which have commas as both delimiters
+values are not included in “” but which have commas as both delimiters
 and parts of data values, you are potentially facing a major problem
 with data cleaning. If the dataset you’re dealing with contains
 hundreds or thousands of records, cleaning them up manually (by either
 removing commas from the data values or putting the values into quotes
-- "") is not only going to take hours and hours but may potentially
+- ““) is not only going to take hours and hours but may potentially
 end up with you accidentally introducing many errors.</p>
 <p>Cleaning up datasets is one of the major problems in many scientific
 disciplines. The approach almost always depends on the particular
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diff --git a/docs/sec-dplyr.html b/docs/sec-dplyr.html
@@ -14,7 +14,7 @@
 
 <meta name="author" content="Laurent Gatto" />
 
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 tidyverse package <strong><code>readr</code></strong>, instead of <code>read.csv()</code>.</p>
 <div class="sourceCode" id="cb269"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb269-1"><a href="sec-dplyr.html#cb269-1" aria-hidden="true" tabindex="-1"></a>rna <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="st">"data/rnaseq.csv"</span>)</span></code></pre></div>
 <pre><code>## Rows: 32428 Columns: 19</code></pre>
-<pre><code>## ── Column specification ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
+<pre><code>## ── Column specification ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 ## Delimiter: ","
 ## chr (14): gene, sample, organism, sex, infection, strain, tissue, product, e...
 ## dbl  (5): expression, age, time, mouse, ENTREZID</code></pre>
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