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 →

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 Pro 1.2. We’ve added some great new features to RStudio Pro for v1.2, which includes not only Server Pro, but also the new and improved Pro Desktop. Let’s get started! RStudio Server Pro The Job Launcher Perhaps the biggest new change in v1. Read more →

We’re excited to announce that RStudio v1.2 has added support for custom editor themes. Custom editor themes will allow you to adjust the background color of the editor and syntax highlighting of code in RStudio to better suit your own personal style. New editor themes can be added to RStudio by importing a tmTheme or sharing an existing rstheme file. The tmTheme file format was first introduced for the TextMate editor, and has since become a standard theme format. Read more →

The RStudio 1.2 Preview Release makes it even easier to create RESTful Web APIs in R using the plumber package. plumber is a package that converts your existing R code to a web API using a handful of special one-line comments. RStudio 1.2 provides the following plumber-related productivity enhancements: push-button local server execution for development and testing easy API publishing to RStudio Connect automatic API documentation and interactive execution via Swagger create a new Plumber API project or add an API to an existing directory A full discussion of Web APIs and the plumber package is beyond the scope of this article; for a primer, check out: R Views: REST APIs and Plumber Read more →

This summer we had five interns participate in our internship program. Each intern was here for 10 weeks and worked closely with a mentor or team. Everyone jumped right in and contributed quickly. We are excited about the progress our interns made and wanted to share it with you here! Fanny Chow (@Fannystats) worked with Max Kuhn on bootstrapping methods in the rsample package. Check out her blog post here. Read more →