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<h3>vcfR documentation</h3>
by
<br>
Brian J. Knaus and Niklaus J. Grünwald
</center>
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<div id="header">
<h1 class="title toc-ignore">The R language and environment</h1>
</div>
<p>vcfR is an R package. Packages are collections of code that extend
functionality to the basic R language. Because of this, users will need
a familiartiy with the R language before they will be successful with
vcfR. Here I’ve attempted to aggregate some links to help new R users
familiarize themselves with the language.</p>
<ul>
<li><p><a
href="http://www.springer.com/us/book/9780387790534">Introductory
Statistics with R</a> by Peter Dalgaard. This is part of how I learned
R. One thing I like about it is that it is relatively short, so it only
covers the basics and allows you to subsequently pusue your
focus.</p></li>
<li><p><a href="https://www.r-bloggers.com/how-to-learn-r-2/">Tutorials
for learning R</a> from the R-bloggers. The R-bloggers are a good source
for all sorts of R information. Here they’ve put together a list of
links.</p></li>
<li><p><a href="http://swirlstats.com/">swirl</a> a colleague
recommended this.</p></li>
<li><p><a
href="http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470973927.html">The
R Book</a> by Michael J. Crawley. I don’t have a lot of personal
experience with this book, but it appears quite popular. This is an
attempt to be more comprehensive than the Dalgaard book above.</p></li>
<li><p><a href="http://r4ds.had.co.nz/">R for Data Science</a> An
introduction to R, data science and ‘tidy data.’</p></li>
</ul>
<center>
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<p>Copyright © 2017, 2018 Brian J. Knaus. All rights reserved.</p>
<p>USDA Agricultural Research Service, Horticultural Crops Research Lab.</p>
</center>
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