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 →

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 →