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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="generator" content="pandoc">
<title>Software Carpentry: R for reproducible scientific analysis</title>
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<body class="lesson">
<div class="container card">
<div class="banner">
<a href="http://software-carpentry.org" title="Software Carpentry">
<img alt="Software Carpentry banner" src="img/software-carpentry-banner.png" />
</a>
</div>
<article>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h1 class="title">R for reproducible scientific analysis</h1>
<p>Introduction to R for non-programmers using gapminder data.</p>
<p>The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.</p>
<p>Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.</p>
<p>A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.</p>
<section class="prereq panel panel-warning">
<div class="panel-heading">
<h2 id="prerequisites"><span class="glyphicon glyphicon-education"></span>Prerequisites</h2>
</div>
<div class="panel-body">
<p>Have attended the Shell and Git sessions.</p>
</div>
</section>
<h2 id="topics">Topics</h2>
<ol style="list-style-type: decimal">
<li><a href="01-rstudio-intro.html">Introduction to R and RStudio</a></li>
<li><a href="02-project-intro.html">Project management with RStudio</a></li>
<li><a href="03-seeking-help.html">Seeking help</a></li>
<li><a href="04-data-structures-part1.html">Data structures</a></li>
<li><a href="05-data-structures-part2.html">Data frames and reading in data</a></li>
<li><a href="06-data-subsetting.html">Subsetting data</a></li>
<li><a href="07-functions.html">Creating functions</a></li>
<li><a href="08-plot-ggplot2.html">Creating publication quality graphics</a></li>
<li><a href="09-vectorisation.html">Vectorisation</a></li>
<li><a href="10-control-flow.html">Control flow</a></li>
<li><a href="11-writing-data.html">Writing data</a></li>
<li><a href="12-plyr.html">Split-apply-combine</a></li>
<li><a href="13-dplyr.html">Dataframe manipulation with dplyr</a></li>
<li><a href="14-tidyr.html">Dataframe manipulation with tidyr</a></li>
<li><a href="15-wrap-up.html">Wrapping up</a></li>
</ol>
<h2 id="other-resources">Other Resources</h2>
<ul>
<li><a href="reference.html">Reference</a></li>
<li><a href="instructors.html">Instructor’s Guide</a></li>
</ul>
</div>
</div>
</article>
<div class="footer">
<a class="label swc-blue-bg" href="http://software-carpentry.org">Software Carpentry</a>
<a class="label swc-blue-bg" href="https://github.com/swcarpentry/lesson-template">Source</a>
<a class="label swc-blue-bg" href="mailto:[email protected]">Contact</a>
<a class="label swc-blue-bg" href="LICENSE.html">License</a>
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