Join RStudio at one of our Fall and Winter workshops! We’ll be hosting a few different workshops in a variety of cities across the US and UK. Topics range from building tidy tools, to teaching data science, to mastering machine learning. See below for more details on each workshop and how to register. Building Tidy Tools with Hadley Wickham When: October 14 & 15, 2019 Where: Loudermilk Conference Center in Atlanta, GA Read more →

This release adds new workflows for data scientists and improved production settings for administrators. For data scientists, it used to be hard to use the same data or R objects in different content, and even harder to update those resources regularly. This release enables you to pin objects in Connect to solve these challenges. For administrators, we’ve reduced the most common sources of publishing failures and significantly improved error handling. Read more →

Join us Wednesday, October 23rd, in Austin, Texas as RStudio teams up with Yotabites, to host a free half-day event on using open source data science languages and RStudio in production. Yotabites is an RStudio Full Service Certified Partner that provides consulting and professional services for RStudio products. This event is for RStudio and Jupyter users and their IT colleagues who enable them. We will show how RStudio products can be incorporated into robust business processes and how Yotabites can help simplify the process. Read more →

Today, we’re announcing an important update to RStudio Server Pro 1.2 that introduces two new capabilities. Slurm Jobs Slurm is a open-source workload management system, capable of running distributed jobs across a cluster. It’s a popular tool for data science teams to run big, resource-intensive jobs on dedicated hardware. In this update, we’re introducing a new Slurm back end for RStudio Server Pro’s new Job Launcher (itself introduced in the initial release of RStudio Server Pro 1. Read more →

Today we are excited to announce the pins package is available on CRAN! pins allows you to pin, discover and share remote resources, locally or in remote storage. If you find yourself using download.file() or asking others to download files before running your R code, use pin() to achieve fast, simple and reliable reproducible research over remote resources. Pins You can use the pins package to: Pin remote resources locally to work offline and cache results with ease, pin() stores resources in boards which you can then retrieve with pin_get(). Read more →

rstudio::conf, the conference on all things R and RStudio, will take place January 29 and 30, 2020 in San Francisco, California, preceded by Training Days on January 27 and 28. We’ve received requests from a number of you for permission to submit talk/e-poster abstracts after the deadline (today, September 6). In response, we’re extending the deadline by a week for everyone; the new submission deadline is September 13, a week from today, at 11:59PM PDT. Read more →

rstudio::conf(2020L) continues our tradition of diversity scholarships, and this year we’re increasing the program size to 44 recipients. As a result of thinking about our goals, this year we have two components to the program: 38 domestic diversity scholarships available to anyone living in the US or Canada who is a member of a group that is under-represented at rstudio::conf. At present, these groups would include women/minority genders, people of color, LGBTQ, elders/older adults, and those with disabilities. Read more →

rstudio::conf, the conference on all things R and RStudio, will take place January 29 and 30, 2020 in San Francisco, Califorrnia, preceded by Training Days on January 27 and 28. The rstudio::conf program includes invited speakers and RStudio employees, but we also want to hear from you, the R community! We are particularly interested in submissions that have one or more of these qualities: Showcase the use of R to solve real problems. Read more →

Shiny is one of the best ways to build interactive documents, dashboards, and data science applications. But advancing your skills with Shiny does not come without challenges. Shiny developers often have a stronger background in applied statistics than in areas useful for optimizing an application, like programming, web development, and user-interface design. Though there are many packages and tools that make developing advanced Shiny apps easier, new developers may not know these tools exist or how to find them. Read more →

Several dozen people have taken part in RStudio’s instructor training and certification program since it was announced earlier this year. Since our last update, many of them have completed certification, so we are pleased to announce a preview of our trainers’ directory. Each of the people listed there has completed an exam on modern evidence-based teaching practices, as well as technical exams on the Tidyverse or Shiny, and they would welcome inquiries from anyone who is looking for high-quality training on these topics. Read more →