Have you heard of RStudio Connect, but do not know where to start? Maybe you are trying to show your manager how Shiny applications can be deployed in production, or convince a DevOps engineer that R can fit into her existing tooling. Perhaps you want to explore the functionality of RStudio’s Professional products to see if they fit the needs you have in your work. Today, we are excited to announce the RStudio QuickStart, which allows you to try out RStudio Connect for free from your desktop. Read more →

rstudio::conf 2019 featured 15 workshops on tidyverse, Shiny, R Markdown, modeling and machine learning, deep learning, big data, and what they forgot to teach you about working with R. Some of the new workshops for this year touched on topics like putting Shiny applications into production at scale and R & Tensorflow. The conference also featured certification workshops on RStudio Professional Administrator and Train-the-trainer for tidyverse and Shiny. Below is a list of all workshops we hosted, with links to materials. Read more →

We all love packages. We don’t love when broken package environments prevent us from reproducing our work. In version 1.0.4 of RStudio Package Manager, individuals and teams can navigate through repository checkpoints, making it easy to recreate environments and reproduce work. The new release also adds important security updates, improvements for Git sources, further access to retired packages, and beta support for Amazon S3 storage. New to RStudio Package Manager? Read more →

We are excited to announce the second formal summer internship program at RStudio. The goal of this program is to enable RStudio employees to collaborate with students to do work that will help both RStudio users and the broader R community, and help ensure that the community of R developers is as diverse as its community of users. Over the course of the internship, you will work with experienced data scientists, software developers, and educators to create and share new tools and ideas. Read more →

RStudio Connect is the publishing platform for everything you create in R. In conversations with our customers, R users were excited to have a central place to share all their data products, but were facing a tough problem. Their colleagues working in Python didn’t have the same option, leaving their work stranded on their desktops. Today, we are excited to introduce the ability for data science teams to publish Jupyter Notebooks and mixed Python and R content to RStudio Connect. Read more →

RStudio is excited to announce the availability of its flagship, enterprise-ready, integrated development environment for R in Azure Marketplace. RStudio Server Pro for Azure is an on-demand, commercially-licensed integrated development environment (IDE) for R on the Microsoft Azure Cloud. It offers all of the capabilities found in the popular RStudio open source IDE, plus turnkey convenience, enhanced security, the ability to manage multiple R versions and sessions, and more. It comes pre-configured with multiple versions of R, common systems libraries, and the most popular R packages. Read more →

Shiny apps are a great way to communicate your data science insights with striking, dynamic, interactive visualizations and reports. Over the years, we have loved interacting with the Shiny community and loved seeing and sharing all the exciting apps, dashboards, and interactive documents Shiny developers have produced. We also love seeing Shiny developers openly sharing their code and process for building apps so that others can learn from them and improve their apps. Read more →

rstudio::conf 2019, the conference for all things R and RStudio, is less than two months away and we’re looking forward to seeing everyone January 15 - 18 in Austin, TX. Register for rstudio::conf 2019 Already registered? Book your room at the Fairmont If you haven’t registered for a workshop or the conference or booked your travel yet, we have some good news and some bad. The bad news (because we want everyone to be able to attend) is that many workshops are sold out, and conference registrations were already at 91% of capacity as of November 28! Read more →

Today, we’re continuing our blog series on new features in RStudio 1.2. If you’d like to try these features out for yourself, you can download a preview release of RStudio 1.2. In this blog series thus far, we’ve focused on the biggest new features in RStudio 1.2. Today, we’ll take a look at some of the smaller ones. Detect missing R packages Many R scripts open with calls to library() and require() to load the packages they need in order to execute. Read more →

We’re pleased to announce the CRAN release of Shiny v1.2.0! This release features Plot Caching, an important new tool for improving performance and scalability in Shiny apps. If you’re not familiar with the term “caching”, it just means that when we perform a time-consuming operation, we save (cache) the results so that the next time that operation is requested, we can skip the actual operation and instantly fetch the previously cached results. Read more →