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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/08/installation-guide.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p><a rel="nofollow" href="http://blog.revolutionanalytics.com/2018/08/r-generation.html" target="_blank">R is an amazing language</a> with 25 years of development behind it, but you can make the most from R with additional components. An IDE makes developing in R more convenient; packages extend R's capabilities; and multi-threaded libraries make computations faster. </p>
<p>Since these additional components aren't included on the <a rel="nofollow" href="https://www.r-project.org/" target="_blank">official R website</a>, getting the ideal R environment set up can be a bit tricky. Fortunately, there's a handy R installation guide by Mauricio Vargas that explains how to get everything you need set up on Windows, Mac and Ubuntu Linux. On each platform, the guide describes how to install:</p>
<ul>
<li>The <a rel="nofollow" href="https://cloud.r-project.org/" target="_blank">R</a> language engine</li>
<li>The <a rel="nofollow" href="https://www.rstudio.com/products/rstudio/download/" target="_blank">RStudio IDE</a>.</li>
<li>The <a rel="nofollow" href="https://www.tidyverse.org/" target="_blank">tidyverse</a> suite of packages</li>
<li>Multi-threaded math libraries (BLAS). On Windows, Mauricio recommends <a rel="nofollow" href="https://mran.microsoft.com/open" target="_blank">Microsoft R Open</a> (&quot;what made my R and Windows experience amazing&quot;). For Mac and Unix he suggests installing OpenBLAS, but I'll add that Microsoft R Open provides BLAS acceleration on those platforms as well. It's easy to <a rel="nofollow" href="http://blog.revolutionanalytics.com/2016/02/using-mro-with-rstudio.html" target="_blank">configure RStudio to use Microsoft R Open</a>, too.</li>
</ul>
<p>Find all the details in the installation guide, linked below.</p>
<p>DataCamp Community: <a rel="nofollow" href="https://www.datacamp.com/community/tutorials/installing-R-windows-mac-ubuntu?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">How to install R on Windows, Mac OS X and Ubuntu</a></p>
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