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<h1 class="title">References</h1>
<h4 class="date"><em>2016-01-20 14:27</em></h4>
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<h2>Cheatsheets</h2>
<p>Most of these cheatsheets are from <a href="https://www.rstudio.com/resources/cheatsheets/">rstudio.com/resources/cheatsheets</a>.</p>
<ul>
<li><a href="refs/cheatsheets/data-wrangling-cheatsheet.pdf">data-wrangling-cheatsheet.pdf</a></li>
<li><a href="refs/cheatsheets/devtools-cheatsheet.pdf">devtools-cheatsheet.pdf</a></li>
<li><a href="refs/cheatsheets/ggplot2-cheatsheet-2.0.pdf">ggplot2-cheatsheet-2.0.pdf</a></li>
<li><a href="refs/cheatsheets/github-git-cheat-sheet.pdf">github-git-cheat-sheet.pdf</a></li>
<li><a href="refs/cheatsheets/rmarkdown-cheatsheet.pdf">rmarkdown-cheatsheet.pdf</a></li>
<li><a href="refs/cheatsheets/rmarkdown-reference.pdf">rmarkdown-reference.pdf</a></li>
<li><a href="refs/cheatsheets/rstudio-IDE-cheatsheet.pdf">rstudio-IDE-cheatsheet.pdf</a></li>
<li><a href="refs/cheatsheets/shiny-cheatsheet.pdf">shiny-cheatsheet.pdf</a></li>
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<h2>Literature</h2>
<ul>
<li><a href="refs/lit/Baumer%20et%20al.%20-%202014%20-%20R%20Markdown%20Integrating%20A%20Reproducible%20Analysis%20To.pdf">Baumer et al. - 2014 - R Markdown Integrating A Reproducible Analysis To.pdf</a></li>
<li><a href="refs/lit/DataONE%202012%20Best%20Practices%20Primer%20DataONE_BP_Primer_020212.pdf">DataONE 2012 Best Practices Primer DataONE_BP_Primer_020212.pdf</a></li>
<li><a href="refs/lit/DataONE%20Data%20Management%20Guide%20for%20Public%20Participation%20PPSR-DataManagementGuide.pdf">DataONE Data Management Guide for Public Participation PPSR-DataManagementGuide.pdf</a></li>
<li><a href="refs/lit/Hampton%20et%20al%20-%202014%20-%20The%20tao%20of%20open%20science%20for%20ecology.pdf">Hampton et al - 2014 - The tao of open science for ecology.pdf</a></li>
<li><a href="refs/lit/Teal%20et%20al%20-%202015%20-%20Data%20Carpentry.pdf">Teal et al - 2015 - Data Carpentry.pdf</a></li>
<li><a href="refs/lit/Wilson%20et%20al%20-%202014%20-%20Best%20Practices%20for%20Scientific%20Computing.pdf">Wilson et al - 2014 - Best Practices for Scientific Computing.pdf</a></li>
</ul>
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<h2>Books</h2>
<ul>
<li><a href="http://r4ds.had.co.nz/">R for Data Science</a> <a href="https://github.com/hadley/r4ds"><span class="octicon octicon-mark-github"></span></a> by Garrett Grolemund and Hadley Wickham</li>
<li><a href="http://adv-r.had.co.nz/">Advanced R</a> <a href="https://github.com/hadley/adv-r"><span class="octicon octicon-mark-github"></span></a> by Hadley Wickham</li>
<li><a href="http://christophergandrud.github.io/RepResR-RStudio/">Reproducible Research with R and Rstudio</a> by Christopher Gandrud</li>
</ul>
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<div id="courses" class="section level2">
<h2>Courses</h2>
<ul>
<li><a href="http://www.datacarpentry.org/semester-biology/">Data Carpentry for Biologists</a> <a href="https://github.com/datacarpentry/semester-biology"><span class="octicon octicon-mark-github"></span></a> by Ethan White</li>
<li><a href="http://varianceexplained.org/RData/">Data Analysis and Visualization Using R</a> <a href="https://github.com/dgrtwo/RData"><span class="octicon octicon-mark-github"></span></a> by David Robinson</li>
<li><a href="http://stat545-ubc.github.io/">Data wrangling, exploration, and analysis with R</a> <a href="https://github.com/STAT545-UBC/STAT545-UBC.github.io"><span class="octicon octicon-mark-github"></span></a> by Jenny Bryan</li>
<li><a href="http://swcarpentry.github.io/r-novice-gapminder/">Software Carpentry: R for reproducible scientific analysis</a> <a href="https://github.com/swcarpentry/r-novice-gapminder"><span class="octicon octicon-mark-github"></span></a> by Software Carpentry</li>
<li><a href="http://kbroman.org/Tools4RR/">Tools for Reproducible Research</a> <a href="https://github.com/kbroman/Tools4RR"><span class="octicon octicon-mark-github"></span></a> by Karl Broman</li>
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<span class="octicon octicon-repo-forked"></span> <b>Fork</b> me at <a href="http://github.com/ucsb-bren/env-info">github.com/<b>ucsb-bren/env-info</b></a>
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