Platform Deprecation Strategy

2018-03-07 Amanda Gadrow
In an effort to streamline product development, maintenance, and support to ensure the best experience for our users, we have created a strategy for operating system and browser deprecation. This will allow us to focus our work on modern platforms, and to encourage best practices in R development. This policy applies to all of our products and packages, and has been posted to the website here. This strategy is included in our Support Agreement, the full text of which can be found here. Read more →

RStudio Connect v1.5.14

2018-03-02 Sean Lopp
RStudio Connect v1.5.14 is now available! This release includes support for secure environment variables, customizing email subject lines, and beta support for serving TensorFlow models. This release introduces beta support for SuSE and will be the last version of RStudio Connect to support Ubuntu 12.04 and Internet Explorer 10. Contact for more information on supported platforms. Secure Environment Variables Environment variables for executable content can be configured in the RStudio Connect Dashboard. Read more →

Summer interns

2018-02-12 Hadley Wickham
We are excited to announce the first formal summer internship program at RStudio. The goal of our internship program is to enable RStudio employees to collaborate with current students (broadly construed: if you think of yourself as a student you quality) to create impactful and useful applications that will help both RStudio users and the broader R community, and help ensure that the community of R developers is representative of the community of R users. Read more →

TensorFlow for R

2018-02-06 Tareef Kawaf
Over the past year we’ve been hard at work on creating R interfaces to TensorFlow, an open-source machine learning framework from Google. We are excited about TensorFlow for many reasons, not the least of which is its state-of-the-art infrastructure for deep learning applications. In the 2 years since it was initially open-sourced by Google, TensorFlow has rapidly become the framework of choice for both machine learning practitioners and researchers. On Saturday, we formally announced our work on TensorFlow during J. Read more →

sparklyr 0.7

2018-01-29 Kevin Kuo
We are excited to share that sparklyr 0.7 is now available on CRAN! Sparklyr provides an R interface to Apache Spark. It supports dplyr syntax for working with Spark DataFrames and exposes the full range of machine learning algorithms available in Spark. You can also learn more about Apache Spark and sparklyr in and our new webinar series on Apache Spark. Features in this release: Adds support for ML Pipelines which provide a uniform set of high-level APIs to help create, tune, and deploy machine learning pipelines at scale. Read more →

RStudio Connect v1.5.12

2018-01-12 Sean Lopp
We’re pleased to announce RStudio Connect 1.5.12. This release includes support for viewing historical content, per-application timeout settings, and important improvements and bug fixes. Historical Content RStudio Connect now retains and displays historical content. By selecting the content’s history, viewers can easily navigate, compare, and email prior versions of content. Historical content is especially valuable for scheduled reports. Previously published documents, plots, and custom versions of parameterized reports are also saved. Read more →

Shiny Server (Pro) 1.5.6

2017-12-11 Alan Dipert
Shiny Server and Shiny Server Pro are now available. This release of Shiny Server Pro includes floating license support and Shiny Server contains a small enhancement to the way errors are displayed. We recommend upgrading at your earliest convenience. Shiny Server Use HTTPS for Google Fonts on error page, which resolves insecure content errors on some browser when run behind SSL. (PR #322) Shiny Server Pro 1. Read more →

Birds of a Feather sessions at rstudio::conf 2018 and the rstudio::conf app!

2017-12-01 Roger Oberg
RStudio appreciates the hundreds of smart, passionate, data science enthusiasts who have already registered for rstudio::conf 2018. We’re looking forward to a fantastic conference, immersing in all things R & RStudio. If you haven’t registered yet, please do! Some workshops are now full. We are also over 90% of our registration target - with more than 2 months to go. It’s safe to say we will sell out. The sooner you are able to register, the better. Read more →

RStudio Connect v1.5.10

2017-12-01 Sean Lopp
We’re pleased to announce version 1.5.10 of RStudio Connect and the general availability of RStudio Connect Execution Servers. Execution Servers enable horizontal scaling and high availability for all the content you develop in R. The 1.5.10 release also includes important security improvements and bug fixes. RStudio Connect Execution Servers Support for high availability and horizontal scaling is now generally available through RStudio Connect Execution Servers. Execution Servers enable RStudio Connect to run across a multi-node cluster. Read more →

pool package on CRAN

2017-11-17 Bárbara Borges
The pool package makes it easier for Shiny developers to connect to databases. Up until now, there wasn’t a clearly good way to do this. As a Shiny app author, if you connect to a database globally (outside of the server function), your connection won’t be robust because all sessions would share that connection (which could leave most users hanging when one of them is using it, or even all of them if the connection breaks). Read more →