Today we are excited to announce the availability of RStudio Professional Drivers. There are, of course, many ways to connect to Databases using R. RStudio Professional Drivers are specifically intended for use with our professional products, including RStudio Server Pro, Shiny Server Pro, and RStudio Connect. These data connectors combined with enhancements to dplyr, the odbc package, and the RStudio IDE provide a comprehensive suite of tools for accessing and analyzing data with your enterprise systems. Read more →

We’re excited to announce the general availability of RStudio 1.1. Highlights include: 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. A new, modern dark theme and Retina-quality icons throughout. Read more →

We’re excited to announce community.rstudio.com, a new site for discussions about RStudio, the tidyverse, and friends. To begin with, we’re focussing on three main areas: The Tidyverse Shiny RStudio IDE In the near future, we expect to launch a category for RStudio admins. This will be a place to coordinate knowledge about best practices for installing, configuring, and managing RStudio products, and for running R in production. Stay tuned for more details! Read more →

Today, we’re concluding our blog series on new features in RStudio 1.1. If you’d like to try these features out for yourself, you can download a preview release of RStudio 1.1. Details matter Throughout this blog series, we’ve focused on some of the big features we added in RStudio 1.1. It’s not just the big things that matter, though; it’s sometimes the little ones that make the most difference in your day-to-day work. Read more →

Shiny Server 1.5.4.869 and Shiny Server Pro 1.5.4.872 are now available. Both the new Shiny Server and Shiny Server Pro releases include bug fixes and enhancements, and we recommend upgrading at your earliest convenience. Shiny Server 1.5.4.869 Clickjacking protection can now be enabled using the frame_options directive. This directive was already available in Shiny Server Pro, but is now available in Shiny Server as well. A bug that caused "Error: Can't set headers after they are sent. Read more →

Today I’m excited to announce a new R package, blogdown, to help you create general-purpose (static) websites with R Markdown. The first version of blogdown is available on CRAN now, and you can install it with: install.packages("blogdown") The source package is hosted on Github in the repository rstudio/blogdown. Since blogdown is a new package, you may install and test the development version using devtools::install_github("rstudio/blogdown") if you run into problems with the CRAN version. Read more →

Today, we’re continuing our blog series on new features in RStudio 1.1. If you’d like to try these features out for yourself, you can download a preview release of RStudio Server Pro 1.1. RStudio Server Pro Today we are going to be talking about some of the great new features we have added to RStudio Server Pro v1.1, which make users’ and administrators’ workflows more efficient. Let’s begin! Features for Users Homepage Improvements One of the key features of RStudio Server Pro is the ability for users to run multiple concurrent R sessions. Read more →

We’re pleased to announce support for Kerberos in RStudio Connect: version 1.5.6. Organizations that use Kerberos can now run Shiny applications and Shiny R Markdown documents in tailored processes that have access only to the appropriate resources inside the organization. The notable changes this release include: Full support for Kerberos across Shiny applications and Shiny R Markdown documents by running R in an authenticated PAM session that uses the cached credentials of the current user. Read more →

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features: Allows the same code to run on CPU or on GPU, seamlessly. User-friendly API which makes it easy to quickly prototype deep learning models. Built-in support for convolutional networks (for computer vision), recurrent networks (for sequence processing), and any combination of both. Read more →

Today, we’re continuing our blog series on new features in RStudio 1.1. If you’d like to try these features out for yourself, you can download a preview release of RStudio 1.1. I Only Work in Black For those of us that like to work in black or very very dark grey, the dark theme can be enabled from the ‘Global Options’ menu, selecting the ‘Appearance’ tab and choosing an ‘Editor theme’ that is dark. Read more →