Today we’re excited to announce availability of our first Preview Release for RStudio 1.1, a major new release which includes the following new features: A Connections tab which makes it easy to connect to, explore, and view data in a variety of databases. A Terminal tab which provides fluid shell integration with the IDE, xterm emulation, and even support for full-screen terminal applications. An Object Explorer which can navigate deeply nested R data structures and objects. Read more →

If big data is your thing, you use R, and you’re headed to Strata + Hadoop World in San Jose March 13 & 14th, you can experience in person how easy and practical it is to analyze big data with R and Spark. In a beginner level talk by RStudio’s Edgar Ruiz and an intermediate level workshop by Win-Vector’s John Mount, we cover the spectrum: What R is, what Spark is, how Sparklyr works, and what is required to set up and tune a Spark cluster. Read more →

RStudio’s data viewer provides a quick way to look at the contents of data frames and other column-based data in your R environment. You invoke it by clicking on the grid icon in the Environment pane, or at the console by typing View(mydata). As part of the RStudio Preview Release, we’ve completely overhauled RStudio’s data viewer with modern features provided in part by a new interface built on DataTables. Read more →

RStudio’s code editor includes a set of lightweight Vim key bindings. You can turn these on in Tools | Global Options | Code | Editing: For those not familiar, Vim is a popular text editor built to enable efficient text editing. It can take some practice and dedication to master Vim style editing but those who have done so typically swear by it. RStudio’s “vim mode” enables the use of many of the most common keyboard operations from Vim right inside RStudio. Read more →

Sometimes the universe surprises us. In this case, it was in a good way and we genuinely appreciated it. Earlier this week we learned that the Infoworld Testing Center staff selected RStudio as one of 32 recipients of the 2015 Technology of the Year Award. We thought it was cool because it was completely unsolicited, we’re in very good company (some of our favorite technologies like Docker, Github, node.js…even my Dell XPS 15 Touch! Read more →

Great news for Shiny and R Markdown enthusiasts! An Interactive Reporting Workshop with Shiny and R Markdown is coming to a city near you. Act fast as only 20 seats are available for each workshop. You can find out more / register by clicking on the link for your city! East Coast West Coast March 2 - Washington, DC April 15 - Los Angeles, CA March 4 - New York, NY April 17 - San Francisco, CA March 6 - Boston, MA April 20 - Seattle, WA You’ll want to take this workshop if… Read more →

As R users know, we’re continuously improving the RStudio IDE. This includes RStudio Server Pro, where organizations who want to deploy the IDE at scale will find a growing set of features recently enhanced for them. If you’re not already familiar with RStudio Server Pro here’s an updated summary page and a comparison to RStudio Server worth checking out. Or you can skip all of that and download a free 45 day evaluation right now! Read more →

Are you headed to Strata? It’s just around the corner! We particularly hope to see you at R Day on October 15, where we will cover a raft of current topics that analysts and R users need to pay attention to. The R Day tutorials come from Hadley Wickham, Winston Chang, Garrett Grolemund, J.J. Allaire, and Yihui Xie who are all working on fascinating new ways to keep the R ecosystem apace of the challenges facing those who work with data. Read more →

Please join us for our popular Introduction to R course for data scientists and data analysts in San Francisco on April 28 and 29. This is a two-day workshop, designed to provide a comprehensive introduction to R that will have you analyzing and modeling data with R in no time. We will cover practical skills for visualizing, transforming, and modeling data in R. You will learn how to explore and understand data as well as how to build linear and non-linear models in R. Read more →