<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/microsoft-r-open-3-5-0-now-available/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/06/microsoft-r-open-350-now-available.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p><a rel="nofollow" href="https://mran.microsoft.com/download" target="_blank">Microsoft R Open 3.5.0 is now available for download</a> for Windows, Mac and Linux. This update includes the <a rel="nofollow" href="https://www.r-project.org/" target="_blank">open-source R</a> 3.5.0 engine, which is a major update with many <a rel="nofollow" href="https://mran.microsoft.com/news#r350" target="_blank">new capabilities and improvements to R</a>. In particular, it includes a <a rel="nofollow" href="http://blog.revolutionanalytics.com/2018/04/r-350.html" target="_blank">major new framework for handling data</a> in R, with some major behind-the-scenes performance and memory-use benefits (and with further improvements expected in the future).</p>
<p>Microsoft R Open 3.5.0 points to a fixed CRAN snapshot taken on June 1 2018. This provides a <a rel="nofollow" href="https://mran.microsoft.com/documents/rro/reproducibility" target="_blank">reproducible</a> experience when installing CRAN packages by default, but you always change the default CRAN repository or the built-in <a rel="nofollow" href="https://mran.microsoft.com/documents/rro/reproducibility/#timemachine" target="_blank">checkpoint package</a> to access snapshots of packages from an earlier or later date.</p>
<p>Relatedly, many new packages have been released since the last release of Microsoft R Open, and you can browse a curated list of some interesting ones on the <a rel="nofollow" href="https://mran.microsoft.com/spotlight" target="_blank">Microsoft R Open Package Spotlight</a> page.</p>
<p>We hope you find Microsoft R Open useful, and if you have any comments or questions please visit the <a rel="nofollow" href="https://social.msdn.microsoft.com/Forums/en-US/home?forum=ropen" target="_blank">Microsoft R Open forum</a>. You can follow the development of Microsoft R Open at the <a rel="nofollow" href="https://github.com/Microsoft/microsoft-r-open/tree/public" target="_blank">MRO Github repository</a>. To download Microsoft R Open, simply follow the link below.</p>
<p>MRAN: <a rel="nofollow" href="https://mran.microsoft.com/download/" target="_blank">Download Microsoft R Open</a></p>
</div>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2018/06/microsoft-r-open-350-now-available.html"> Revolutions</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/nTgiViq1DN8" height="1"></a></div>