Come see RStudio at an event near you next week!

2017-05-12 Roger Oberg
We love to engage with R and RStudio users online in webinars and communities because it is so efficient for everyone. But sometimes it’s great to meet in person, too! Next week RStudio will be in Miami, Baltimore and Chicago. We wanted to let you know in case you’ll be there at the same time and want to “Connect” (yes, we said it :)) with us. At each of these events we’ll have the latest books signed by RStudio authors, t-shirts to win, demonstrations of RStudio Connect and RStudio Server Pro and, of course, stickers and cheatsheets. Read more →

RStudio Connect 1.4.6

2017-04-11 Jeff Allen
We’re excited to announce the release of RStudio Connect: version 1.4.6. This is an incremental release which features significantly improved startup time and support for server-side Shiny bookmarks. Improved Startup & Job Listing Time We now track R process jobs in the database which allows us to list and query jobs much more quickly. This decreases the startup time of the RStudio Connect service – allowing even the busiest of servers to spin up in a matter of seconds. Read more →

RStudio Connect

2017-03-28 Jeff Allen
We’re excited to announce the release of RStudio Connect: version This release includes the ability to manage different versions of your work on RStudio Connect. Rollback / Roll Forward The most notable feature of this release is the ability to “rollback” to a previously deployed version of your work or “roll forward” to a more recent version of your work. You can also download a particular version, perhaps as a starting place for a new report or application, and delete old versions that you want to remove from the server. Read more →

See RStudio + sparklyr for big data at Strata + Hadoop World

2017-02-13 Roger Oberg
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 Connect 1.4.2

2017-02-09 Jeff Allen
We’re excited to announce the latest release of RStudio Connect: version 1.4.2. This release includes a number of notable features including an overhauled interface for parameterized R Markdown reports. Enhanced Parameterized R Markdown Reports The most notable feature in this release is the ability to publish parameterized R Markdown reports that are easier for anyone to customize. If you’re unfamiliar, parameterized R Markdown reports allow you to inject input parameters into your R Markdown document to alter what analysis the report performs. Read more →

Announcing RStudio Connect - For all the work your teams do in R

2017-01-10 Jeff Allen
We’re thrilled to officially introduce the newest product in RStudio’s product lineup: RStudio Connect. You can download a free 45-day trial of it here. RStudio Connect is a new publishing platform for all the work your teams do in R. It provides a single destination for your Shiny applications, R Markdown documents, interactive HTML widgets, static plots, and more. RStudio Connect isn’t just for R users. Now anyone can interact with custom built analytical data products developed by R users without having to program in R themselves. Read more →

R Views - a new perspective on R and RStudio

2016-11-08 Roger Oberg
On October 12, RStudio launched R Views with great enthusiasm. R Views is a new blog for R users about the R Community and the R Language. Under the care of editor-in-chief and new RStudio ambassador-at-large, Joseph Rickert, R Views provides a new perspective on R and RStudio that we like to think will become essential reading for you. You may have read an R Views post already. In the first, widely syndicated, post, Joseph interviewed J. Read more →

Announcing RStudio v1.0!

2016-11-01 RStudio Team
Today we’re very pleased to announce the availability of RStudio Version 1.0! Version 1.0 is our 10th major release since the initial launch in February 2011 (see the full release history below), and our biggest ever! Highlights include: Authoring tools for R Notebooks. Integrated support for the sparklyr package (R interface to Spark). Performance profiling via integration with the profvis package. Enhanced data import tools based on the readr, readxl and haven packages. Read more →

sparklyr — R interface for Apache Spark

2016-09-27 RStudio Team
We’re excited today to announce sparklyr, a new package that provides an interface between R and Apache Spark. Over the past couple of years we’ve heard time and time again that people want a native dplyr interface to Spark, so we built one! sparklyr also provides interfaces to Spark’s distributed machine learning algorithms and much more. Highlights include: Interactively manipulate Spark data using both dplyr and SQL (via DBI). Read more →

Shiny 0.14

2016-09-12 Winston Chang
A new Shiny release is upon us! There are many new exciting features, bug fixes, and library updates. We’ll just highlight the most important changes here, but you can browse through the full changelog for details. This will likely be the last release before shiny 1.0, so get out your party hats! To install it, you can just run: install.packages("shiny") Bookmarkable state Shiny now supports bookmarkable state: users can save the state of an application and get a URL which will restore the application with that state. Read more →