v0.1.12

Author: gagolews

CITATION.cff

@@ -31,9 +31,10 @@ authors:
     website: "https://www.gagolewski.com"
 preferred-citation:
     type: book
-    year: 2022
+    year: 2023
     title: "Deep R Programming"
     url: "https://deepr.gagolewski.com/"
+    isbn: "978-0-6455719-2-9"
     authors:
       - family-names: Gagolewski
         given-names: Marek

LICENSE

@@ -1,6 +1,6 @@
 Deep R Programming
 
-Copyright (C) 2022, Marek Gagolewski <https://www.gagolewski.com>
+Copyright (C) 2022-2023, Marek Gagolewski <https://www.gagolewski.com>
 
 
 ===========================================================================

README.md

@@ -27,9 +27,18 @@ You can read it at:
 * <https://deepr.gagolewski.com/> (a browser-friendly version)
 * <https://deepr.gagolewski.com/deepr.pdf> (PDF)
 
+<!-- TODO: printed version -->
+
+
 **Please spread the news about this project.**
 
-<!-- TODO: citation -->
+Consider citing this book as:
+[Gagolewski M.][1] (2023), *Deep R Programming*,
+Zenodo, Melbourne,
+<!-- DOI: [10.5281/zenodo.zzz](https://dx.doi.org/10.5281/zenodo.zzz), -->
+ISBN: 978-0-6455719-2-9,
+URL: <https://deepr.gagolewski.com/>.
+
 
 Any remarks and bug fixes are appreciated. Please submit them via
 this repository's *Issues* tracker. Thank you.
@@ -68,7 +77,7 @@ and many [others](https://github.com/gagolews).
 
 --------------------------------------------------------------------------------
 
-Copyright (C) 2022, [Marek Gagolewski][1]. Some rights reserved.
+Copyright (C) 2022–2023, [Marek Gagolewski][1]. Some rights reserved.
 
 This material is licensed under the Creative Commons
 [Attribution-NonCommercial-NoDerivatives 4.0 International][2] License

docs/chapter/000-preface.html

@@ -10,8 +10,8 @@
   <meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
 <meta content="Deep R Programming" name="citation_title" />
 <meta content="Marek Gagolewski" name="citation_author" />
-<meta content="2022" name="citation_date" />
-<meta content="2022" name="citation_publication_date" />
+<meta content="2023" name="citation_date" />
+<meta content="2023" name="citation_publication_date" />
 <meta content="https://deepr.gagolewski.com/deepr.pdf" name="citation_pdf_url" />
 <meta content="https://deepr.gagolewski.com/" name="citation_public_url" />
 <meta content="Deep R Programming is comprehensive course on one of the most popular languages in data science (statistical computing, graphics, machine learning, data wrangling and analytics). It introduces the base language in-depth and is aimed at ambitious students, practitioners, and researchers who would like to become independent users of this powerful environment. This textbook is a non-profit project. Its online and PDF versions are freely available at https://deepr.gagolewski.com/." name="citation_abstract" />
@@ -28,6 +28,7 @@
 <meta content="Marek Gagolewski" name="DC.publisher" />
 <meta content="INDEX,FOLLOW" name="robots" />
 <meta content="book" name="og:type" />
+<meta content="9780645571929" name="og:book:isbn" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 
@@ -287,7 +288,7 @@
 <em>Although available online, it is a whole course;
 it should be read from the beginning to the end.
 Refer to the <a class="reference internal" href="000-preface.html#chap-preface"><span class="std std-ref">Preface</span></a> for general introductory remarks.</em>
-<em>Also, check out my other book, <a class="reference external" href="https://datawranglingpy.gagolewski.com/"><em>Minimalist Data Wrangling with Python</em></a> <span id="id1">[<a class="reference internal" href="999-bibliography.html#id52" title="Gagolewski, M. (2022).  Minimalist Data Wrangling with Python. Zenodo, Melbourne. ISBN 978-0-6455719-1-2. URL: https://datawranglingpy.gagolewski.com/, DOI: 10.5281/zenodo.6451068.">20</a>]</span>.</em></p>
+<em>Also, check out my other book, <a class="reference external" href="https://datawranglingpy.gagolewski.com/"><em>Minimalist Data Wrangling with Python</em></a> <span id="id1">[<a class="reference internal" href="999-bibliography.html#id3" title="Gagolewski, M. (2022).  Minimalist Data Wrangling with Python. Zenodo, Melbourne. ISBN 978-0-6455719-1-2. URL: https://datawranglingpy.gagolewski.com/, DOI: 10.5281/zenodo.6451068.">20</a>]</span>.</em></p>
 </div></blockquote>
 <section id="hello-world">
 <h2><span class="section-number">1.1. </span>Hello, World!<a class="headerlink" href="#hello-world" title="Permalink to this heading"></a></h2>
@@ -421,7 +422,7 @@ <h3><span class="section-number">1.2.4. </span>Weaving: Automatic Report Generat
 (text, tables, plots, auxiliary files) synchronised with their generating
 code and data.</p>
 <p><strong class="command">utils::Sweave</strong> (the <strong class="command">Sweave</strong> function
-from the <strong class="program">utils</strong> package) and <strong class="program">knitr</strong> <span id="id6">[<a class="reference internal" href="999-bibliography.html#id41" title="Xie, Y. (2015).  Dynamic Documents with R and knitr. Chapman and Hall/CRC.">44</a>]</span>
+from the <strong class="program">utils</strong> package) and <strong class="program">knitr</strong> <span id="id6">[<a class="reference internal" href="999-bibliography.html#id43" title="Xie, Y. (2015).  Dynamic Documents with R and knitr. Chapman and Hall/CRC.">44</a>]</span>
 are two example template processors that evaluate
 R code chunks within documents written in LaTeX,
 HTML, or other markup languages.
@@ -540,7 +541,7 @@ <h3><span class="section-number">1.2.4. </span>Weaving: Automatic Report Generat
 There, editable and executable code chunks and results they generate
 can be kept together in a single <code class="file docutils literal notranslate"><span class="pre">.ipynb</span></code> (JSON) file;
 see <a class="reference internal" href="#fig-jupyternotebook"><span class="std std-numref">Figure 1.2</span></a> for an illustration
-and Chapter 1 of <span id="id7">[<a class="reference internal" href="999-bibliography.html#id52" title="Gagolewski, M. (2022).  Minimalist Data Wrangling with Python. Zenodo, Melbourne. ISBN 978-0-6455719-1-2. URL: https://datawranglingpy.gagolewski.com/, DOI: 10.5281/zenodo.6451068.">20</a>]</span> for a quick introduction
+and Chapter 1 of <span id="id7">[<a class="reference internal" href="999-bibliography.html#id3" title="Gagolewski, M. (2022).  Minimalist Data Wrangling with Python. Zenodo, Melbourne. ISBN 978-0-6455719-1-2. URL: https://datawranglingpy.gagolewski.com/, DOI: 10.5281/zenodo.6451068.">20</a>]</span> for a quick introduction
 (from the Python language kernel perspective).</p>
 <p>This environment is quite convenient for live coding
 (e.g., for teachers) or performing exploratory data analyses.
@@ -616,7 +617,7 @@ <h2><span class="section-number">1.3. </span>Atomic Vectors at a Glance<a class=
 <p>Moreover, the fact that vectors are the core part of the R language
 makes their use very natural  – as opposed
 to the languages that require special add-ons for vector processing,
-e.g., <strong class="program">numpy</strong> for Python <span id="id8">[<a class="reference internal" href="999-bibliography.html#id23" title="Harris, C.R., et al. (2020).  Array programming with NumPy. Nature, 585(7825):357–362. DOI: 10.1038/s41586-020-2649-2.">29</a>]</span>.
+e.g., <strong class="program">numpy</strong> for Python <span id="id8">[<a class="reference internal" href="999-bibliography.html#id25" title="Harris, C.R., et al. (2020).  Array programming with NumPy. Nature, 585(7825):357–362. DOI: 10.1038/s41586-020-2649-2.">29</a>]</span>.
 By learning different ways to process them <em>as a whole</em>,
 instead of one element at a time,
 we will assure that our ideas can quickly be turned into working code
@@ -721,7 +722,7 @@ <h2><span class="section-number">1.5. </span>Exercises<a class="headerlink" href
 </dd>
 <dt class="label" id="footliterate"><span class="brackets"><a class="fn-backref" href="#id5">4</a></span></dt>
 <dd><p>The idea dates back to Knuth’s literate programming
-concept; see <span id="id9">[<a class="reference internal" href="999-bibliography.html#id40" title="Knuth, D.E. (1992).  Literate Programming. CSLI.">32</a>]</span>.</p>
+concept; see <span id="id9">[<a class="reference internal" href="999-bibliography.html#id42" title="Knuth, D.E. (1992).  Literate Programming. CSLI.">32</a>]</span>.</p>
 </dd>
 </dl>
 </section>
@@ -741,13 +742,13 @@ <h2><span class="section-number">1.5. </span>Exercises<a class="headerlink" href
 
   <div role="contentinfo">
     <p>
-        Copyright &#169; 2022 by <a href="https://www.gagolewski.com">Marek Gagolewski</a>. Some rights reserved. Licensed under <a href='https://creativecommons.org/licenses/by-nc-nd/4.0/'>CC BY-NC-ND 4.0</a>.
+        Copyright &#169; 2022–2023 by <a href="https://www.gagolewski.com">Marek Gagolewski</a>. Some rights reserved. Licensed under <a href='https://creativecommons.org/licenses/by-nc-nd/4.0/'>CC BY-NC-ND 4.0</a>.
 
     Built with <a href="https://sphinx-doc.org/">Sphinx</a>
     and a customised <a href="https://github.com/rtfd/sphinx_rtd_theme">rtd</a>
     theme.
       <span class="lastupdated">
-        Last updated on 2022-12-28T15:36:00+1100.
+        Last updated on 2022-12-29T11:00:10+1100.
       </span>