<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="http://www.r-bloggers.com/documentation-for-microsoft-r-server-now-online/"></div></div><div><a data-url="http://www.r-bloggers.com/documentation-for-microsoft-r-server-now-online/" data-counturl="http://www.r-bloggers.com/documentation-for-microsoft-r-server-now-online/" data-count="horizontal" data-text="Documentation for Microsoft R Server now online" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/05/microsoft-r-server-documentation.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p><a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/index"><img title="Documentation" alt="Documentation" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b7c85cdd77970b-200wi"></a>If you've been thinking about trying the big-data capabilities of <a target="_blank" href="https://www.microsoft.com/en-us/server-cloud/products/r-server/">Microsoft R Server</a> but wanted to check out the documentation first, you're in luck: the <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/index">complete Microsoft R Server documentation</a> is now available on MSDN (and is accessible to anyone). There's lots to explore here, but a few highlights you might want to check out include:</p>
<ul>
<li><a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-getting-started">Getting Started with Microsoft R Server</a>: what's included, launch it on Windows or Linux, and a basic R language tutorial</li>
<li><a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-scaler-getting-started">The RevoScaleR Getting Started Guide</a>, with an introductory tutorial on the big-data functions of Microsoft R Server</li>
<li>Details on <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-scaler-distributed-computing">distributed computing with RevoScaleR</a>, including modeling data stored in <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-scaler-hadoop-getting-started">Hadoop</a> and <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-scaler-sql-server-getting-started">SQL Server</a></li>
<li>Adding your own distributed algorithms <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-pemar-getting-started">with the RevoPemaR package</a></li>
<li>Speeding up R &quot;for&quot; loops with <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver/rserver-foreach">parallel computation</a></li>
</ul>
<p>There's even more to explore at the documentation site linked below. Don't forget that Microsoft R Server is <a target="_blank" href="https://myprodscussu1.app.vssubscriptions.visualstudio.com/Downloads?PId=1962">free for developers</a> and <a target="_blank" href="https://www.dreamspark.com/Product/Product.aspx?productid=105">free for students</a>, so if you fall into either of those camps you can download it now to follow along with the guides. </p>
<p>MSDN Documentation: <a target="_blank" href="https://msdn.microsoft.com/en-us/microsoft-r/index">Microsoft R Server</a></p>
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