leaflet 2.0.0 is now on CRAN! The leaflet R package wraps the Leaflet.js JavaScript library, and this release of the R package marks a major upgrade from the outdated Leaflet.js 0.7.x to the current Leaflet.js 1.x (specifically, 1.3.1). Leaflet.js 1.x includes some non-backward-compatible API changes versus 0.7.x. If you’re using only R code to create your Leaflet maps, these changes should not affect you. If you are using custom JavaScript, some changes may be required to your code. Read more →

RStudio Connect version 1.6.2 is now available! There are a handful of new features that are highlighted below. We encourage you to upgrade as soon as possible! Recommend Building R from Source If you have installed R using apt-get, yum, or some other package manager, we recommend that you install R from source instead. This protects you from application breakages when the system version of R is upgraded. We have updated our documentation to reflect these best practices concerning R administration for use with Connect. Read more →

Two years ago, Wes McKinney and Hadley Wickham got together to discuss some of the systems challenges facing the Python and R communities. Data science teams inevitably work with multiple languages and systems, so it’s critical that data flow seamlessly and efficiently between these environments. Wes and Hadley wanted to explore opportunities to collaborate on tools for improving interoperability between Python, R, and external compute and storage systems. This discussion led to the creation of the feather file format, a very fast on-disk format for storing data frames that can be read and written to by multiple languages. Read more →

We were thrilled by the response to our summer internship program. After carefully reviewing over 250 applications, we have made our final selections. Here is a brief description of each intern and the projects they will be working on this summer. Fanny Chow, bootstrapping methods Fanny is a master’s student working with Max Kuhn this summer. Previously she studied Statistics and International Relations at UC Davis. She is particularly interested in privacy and interpretability in machine learning. Read more →

We’re pleased to announce RStudio Connect 1.6.0. Connect 1.6.0 caps a year of significant updates and we encourage all customers to upgrade. New Content Types Plumber APIs RStudio Connect introduces support for deploying Plumber APIs, allowing any R function to be served as an HTTP RESTful service. API support makes it easy to integrate R into external systems. Connect handles scaling and securing published APIs. TensorFlow Serving The new TensorFlow R bindings enable R users to tap into the powerful TensorFlow library. Read more →

Shiny Server 1.5.7.907 and Shiny Server Pro 1.5.7.954 are now available. Highlights for this release are a major-version Node upgrade, support for HTTP gzip/deflate compression and (optionally) secure cookies, and numerous bug fixes. We’ve also dropped support for some Linux distro versions that have reached their end of life. Shiny Server 1.5.7.907 Upgrade to Node v8.10.0. Dropped support for Ubuntu 12.04 and SLES 11. Support gzip/deflate compression for HTTP responses. Read more →

Join RStudio Chief Data Scientist Hadley Wickham for his popular Building tidy tools workshop in San Francisco! If you’d missed the sold out course at rstudio::conf 2018 now is your chance. Register here: https://www.rstudio.com/workshops/extending-the-tidyverse/ 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 →

It has been more than two years since we announced the initial version of the DT package. Today we want to highlight a few significant changes and new features in the recent releases v0.3 and v0.4. The full changes can be found in the release notes. Editable tables Now you can make a table editable through the new argument datatable(..., editable = TRUE). Then you will be able to edit a cell by double-clicking on it. Read more →

We are pleased to announce the reticulate package, a comprehensive set of tools for interoperability between Python and R. The package includes facilities for: Calling Python from R in a variety of ways including R Markdown, sourcing Python scripts, importing Python modules, and using Python interactively within an R session. Translation between R and Python objects (for example, between R and Pandas data frames, or between R matrices and NumPy arrays). Read more →

In an effort to streamline product development, maintenance, and support to ensure the best experience for our users, we have created a strategy for operating system and browser deprecation. This will allow us to focus our work on modern platforms, and to encourage best practices in R development. This policy applies to all of our products and packages, and has been posted to the website here. This strategy is included in our Support Agreement, the full text of which can be found here. Read more →