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<!DOCTYPE html>
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<title>Reproducible Research with R and RStudio</title>
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<meta name="description" content="An ode to Metro.">
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<li><a href="http://www.crcpress.com/product/isbn/9781466572843">Chapman & Hall</a></li>
<li><a href="http://www.amazon.co.uk/Reproducible-Research-RStudio-Chapman-Series/dp/1466572841/ref=sr_1_1?ie=UTF8&qid=1363415589&sr=8-1">Amazon UK</a></li>
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<h1>Reproducible Research</h1>
<br>
<h2>with R & RStudio</h2>
<p class="pull-right lead">
<a href="http://www.crcpress.com/">Chapman & Hall/CRC Press</a><br>
</p>
<p class="lead">Christopher Gandrud</p>
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<!-- About the Book -->
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<h2>Overview of the Book</h2>
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<blockquote><em>Reproducible Research with R & RStudio</em> gives you tools for data gathering, analysis, and presentation of results so that you can create dynamic and highly reproducible research.</blockquote>
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<p class="lead"><strong>Tools you will learn as part of a reproducible research workflow:</strong></p>
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<p><a href="http://www.r-project.org/">R</a>: a programming language primarily for statistics and graphics. We will focus on using it for dynamic data gathering and presenting results.</p>
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<p><a href="http://yihui.name/knitr/">knitr</a>: an R package for literate programming, i.e. it allows you to combine your statistical analysis and the presentation of the results into one document. It works with R and a number of other languages such as Bash, Python, and Ruby.</p>
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<p><strong>Markup languages</strong>: instructions for how to format a presentation document. Specifically we cover <a href="http://www.latex-project.org/">LaTeX</a> for creating PDF articles and slide shows, as well as <a href="http://daringfireball.net/projects/markdown/">Markdown</a>, and a little <a href="http://en.wikipedia.org/wiki/HTML">HTML</a> for presenting results on the web.</p>
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<p><a href="http://www.rstudio.com/">RStudio</a>: an integrated developer environment (IDE) for R that tightly integrates R, knitr, and markup languages.</p>
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<p><strong>Cloud storage & versioning</strong>: Services such as <a href="https://www.dropbox.com">Dropbox</a> and <a href="http://git-scm.com/">Git</a>/<a href="https://github.com/">Github</a> that can store data, code, and presentation files, save previous versions of these files, and make this information widely available.</p>
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<p><strong>Unix-like shell programs</strong>: These tools are useful for working with large research projects. They also allow us to use command line tools including <a href="http://www.gnu.org/software/make/">GNU Make</a> for compiling projects and <a href="http://johnmacfarlane.net/pandoc/">Pandoc</a>, a program useful for converting documents from one markup language to another.</p>
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<h2>Who Should Read the Book?</h2>
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<p><strong>Academic Researchers</strong>: This book is intended to be a practical guide for how to actually make your research reproducible. Even if you already use tools such as R and LaTeX you may not be leveraging their full potential. This book will teach you useful ways to get the most out of them as part of a reproducible research workflow.</p>
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<p><strong>Students</strong>: Upper-level undergraduate and graduate students conducting original computational research should make your research reproducible. Forcing yourself to clearly document the steps you took will also encourage you to think more clearly about what you are doing and reinforce what you are learning. It will hopefully give you a greater appreciation of research accountability and integrity early in your career.</p>
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<p><strong>Instructors</strong>: When instructors incorporate the tools of reproducible research into their assignments they not only build students’ understanding of research best practice, but are also better able to evaluate and provide meaningful feedback on students’ work. This book provides a resource that you can use with students to put reproducibility into practice.</p>
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<p><strong>Editors</strong>: Beyond a lack of reproducible research skills among researchers, an impediment to actually creating reproducible research is a lack of infrastructure to publish it. Hopefully, this book will be useful for editors at academic publishers who want to be better at evaluating reproducible research, editing it, and developing systems to make it more widely available.</p>
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<p><strong>Private Sector Researchers</strong>: Researchers in the private sector may or may not want to make their work easily reproducible outside of their organization. However, that does not mean that significant benefits cannot be gained from using the methods of reproducible research. Making your research reproducible to members of your organization can spread valuable information about how analyses were done and data was collected. This will help build your organization’s knowledge and avoid effort duplication. </p>
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<p>The book is expected to be published in July 2013.</p>
<p>You can <strong>pre-order</strong> it from:</p>
<ul>
<li><a href="http://www.crcpress.com/product/isbn/9781466572843">Chapman & Hall</a></li>
<li><a href="http://www.amazon.co.uk/Reproducible-Research-RStudio-Chapman-Series/dp/1466572841/ref=sr_1_1?ie=UTF8&qid=1363415589&sr=8-1">Amazon UK</a></li>
</ul>
<br><br><br><br>
</div>
</div>
</section>
<!-- Supplementary Materials -->
<section>
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<h2>Supplementary Materials</h2>
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<p>You can freely download supplementary files used for examples discussed in the books chapters as well as a short, but complete reproducible research project.</p>
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<a class="btn btn-warning btn-large" href="https://github.com/christophergandrud/Rep-Res-Examples">Individual Chapter Examples</a>
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<a class="btn btn-warning btn-large" href="https://github.com/christophergandrud/Rep-Res-ExampleProject1">Example Research Project</a>
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<!-- About the Author -->
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<h2>About the Author</h2>
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<p>I am a Research Fellow at the <a href="http://www.hertie-school.org/facultyandresearch/research-centres/research-centres/fiscal-governance-centre/">Fiscal Governance Centre, Hertie School of Governance</a>. My <a href="http://christophergandrud.blogspot.kr/p/research.html">research</a> focuses on the international political economy of public financial and monetary institutions, as well as applied social science statistics. My work has been published in the <a href="http://www.tandfonline.com/loi/rrip20">Review of International Political Economy</a> and the <a href="http://ips.sagepub.com/">International Political Science Review</a>.</p>
<p>I have been a lecturer at <a href="http://www.yonsei.ac.kr/eng/">Yonsei University</a> and a Fellow in Government at the <a href="http://www2.lse.ac.uk/home.aspx">London School of Economics</a>. In 2012 I completed a PhD in political science and quantitative methods at LSE.</p>
<p>When I stumble upon a tool that helps me do research better I share it on my <a href="http://christophergandrud.blogspot.com/">blog</a> or on Twitter at <a href="https://twitter.com/ChrisGandrud">@ChrisGandrud</a>. </p>
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