Installing R packages on Linux systems has always been a risky affair. In RStudio Package Manager 1.0.8, we’re giving administrators and R users the information they need to make installing packages easier. We’ve also made it easier to use Package Manager offline and improved search performance. New to RStudio Package Manager? Download the 45-day evaluation today to see how RStudio Package Manager can help you, your team, and your entire organization access and organize R packages. Read more →

Back in January we announced the first Shiny contest. The time has come to share the results with you! First and foremost, we were overwhelmed (in the best way possible!) by the 136 submissions! Reviewing all these submissions was incredibly inspiring and humbling. We really appreciate the time and effort each contestsant put into building these apps, as well as submitting them as a fully reproducible artifacts via RStudio Cloud. Read more →

We received almost 400 applications for our 2019 internship program from students with very diverse backgrounds. After interviewing several dozen people and making some very difficult decisions, we are pleased to announce that these twelve interns have accepted positions with us for this summer: Therese Anders: Calibrated Peer Review. Prototype tools to conduct experiments to see whether calibrated peer review is a useful and feasible feedback strategy in introductory data science classes and industry workshops. Read more →

RStudio Connect 1.7.2 is ready to download, and this release contains some long-awaited functionality that we are excited to share. Several authentication and user-management tooling improvements have been added, including the ability to change authentication providers on an existing server, new group support options, and the official introduction of SAML as a supported authentication provider (currently a beta feature*). But that’s not all… keep reading to learn about great additions to the RStudio Connect UI, updates to Python support, and a brand new Admin dashboard view for tracking scheduled content. Read more →

With much excitement built over the past three years, we are thrilled to share that sparklyr 1.0 is now available on CRAN! The sparklyr package provides an R interface to Apache Spark. It supports dplyr, MLlib, streaming, extensions and many other features; however, this particular release enables the following new features: Arrow enables faster and larger data transfers between Spark and R. XGBoost enables training gradient boosting models over distributed datasets. Read more →

When you run an R script in RStudio today, the R console waits for it to complete, and you can’t do much with RStudio until the script is finished running. When your R scripts take a long time to run, it can be difficult to get much done in RStudio while they do, unless you’re willing to juggle multiple instances of RStudio. In RStudio 1.2, we’re introducing two new features to keep you productive while your code’s working: local jobs and remote jobs. Read more →

The 1.0.6 release of RStudio Package Manager helps R users understand packages. The primary feature in this release is embedded package READMEs, detailed below. If you’re new to Package Manager, it is an on-premise product built to give teams and organizations reliable and consistent package management. Download an evaluation today. View package READMEs in Package Manager Package READMEs Many R packages have rich README files that can include: Read more →

Join RStudio Chief Data Scientist Hadley Wickham for his popular “Building tidy tools” workshop in Sydney, Australia! If you’d missed the sold out course at rstudio::conf 2019 now is your chance. Register here: https://www.rstudio.com/workshops/building-tidy-tools/ You should take this class if you have some experience programming in R and you want to learn how to tackle larger-scale problems. You’ll get the most if you’re already familiar with the basics of functions (i. Read more →

We are pleased to announce the launch of RStudio’s instructor training and certification program. Its goal is to help people apply modern evidence-based teaching practices to teach data science using R and RStudio’s products, and to help people who need such training find the trainers they need. Like the training programs for flight instructors, the ski patrol, and the Carpentries, ours distinguishes between instructors (who teach end users) and coaches (who teach instructors). Read more →

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 →