Package Manager 1.1.0 - No Interruptions

2019-11-07 Sean Lopp
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No interruptions. That was our team’s goal for RStudio Package Manager 1.1.0 - we set out to make R package installation fast enough that it wouldn’t interrupt your work. More and more data scientists use Linux environments, whether to access extra horsepower during development or to run production code in containers. Unfortunately, the rise in Linux environments has seen a corresponding increase in package installation pain. For Windows and Mac OS, CRAN provides pre-compiled binary packages that install almost instantly, but the same binaries are not available on Linux. Read more →

renv: Project Environments for R

2019-11-06 Kevin Ushey
We’re excited to announce that renv is now available on CRAN! You can install renv with: install.packages("renv") renv is an R dependency manager. Use renv to make your projects more: Isolated: Each project gets its own library of R packages, so you can feel free to upgrade and change package versions in one project without worrying about breaking your other projects. Portable: Because renv captures the state of your R packages within a lockfile, you can more easily share and collaborate on projects with others, and ensure that everyone is working from a common base. Read more →

RStudio Professional Drivers 1.6.0

2019-10-24 Nathan Stephens
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Access to data is crucial for data science. Unfortunately, servers that run RStudio are often disconnected from databases, especially in organizations that are new to R. In order to help data scientists access their databases, RStudio offers ODBC data connectors that are supported, easy to install, and designed to work everywhere you use RStudio professional products. The 1.6.0 release of RStudio Professional Drivers includes a few important updates. New data sources Read more →

Shiny 1.4.0

2019-10-15 Winston Chang
Shiny 1.4.0 has been released! This release mostly focuses on under-the-hood fixes, but there are a few user-facing changes as well. If you’ve written a Shiny app before, you’ve probably encountered errors like this: div("Hello", "world!", ) #> Error in tag("div", list(...)) : argument is missing, with no default This is due to a trailing comma in div(). It’s very easy to accidentally add trailing commas when you’re writing and debugging a Shiny application. Read more →

Building Data Science Infrastructure at an Enterprise Level with RStudio and ProCogia

2019-10-02 Samantha Toet
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We’re hosting a free, half-day event with one of our Full Service Certified Partners, ProCogia, in Seattle on Wednesday October 9th. This event is for data science and IT teams that want to learn more about: helpful new RStudio R packages like pins what RStudio professional products can do for your data science team if you have both Jupyter and RStudio users using Kubernetes or Slurm to scale your work If you’re interested in learning more, be sure to register on the ProCogia event page: RStudio & ProCogia Roadshow: R in Enterprise. Read more →

RStudio Connect 1.7.8 - Put a pin in it!

2019-09-23 Sean Lopp
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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 →

RStudio Server Pro 1.2 Update

2019-09-19 Jonathan McPherson
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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 →

pins: Pin, Discover and Share Resources

2019-09-09 RStudio Team
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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 →

Deadline extended for rstudio::conf(2020) abstract submissions

2019-09-06 Hadley Wickham
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(2020) Diversity and international scholarships

2019-08-30 Jen Hecht
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 →