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 →

Today I’m excited to announce a new R package, blogdown, to help you create general-purpose (static) websites with R Markdown. The first version of blogdown is available on CRAN now, and you can install it with: install.packages("blogdown") The source package is hosted on Github in the repository rstudio/blogdown. Since blogdown is a new package, you may install and test the development version using devtools::install_github("rstudio/blogdown") if you run into problems with the CRAN version. Read more →

We’re pleased to introduce the learnr package, now available on CRAN. The learnr package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding. Tutorials can include any or all of the following: Narrative, figures, illustrations, and equations. Code exercises (R code chunks that users can edit and execute directly). Multiple choice quizzes. Read more →

We have released the R package bookdown (v0.3) to CRAN. It may be old news to some users, but we are happy to make an official announcement today. To install the package from CRAN, you can install.packages("bookdown") The bookdown package provides an easier way to write books and technical publications than traditional tools such as LaTeX and Word. It inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references, etc. Read more →

rstudio::conf 2017, the conference on all things R and RStudio, is only 90 days away. Now is the time to claim your spot or grab one of the few remaining seats at Training Days - including the new Tidyverse workshop. REGISTER NOW Whether you’re already registered or still working on it, we’re delighted today to announce the full conference schedule, so that you can plan your days in Florida. rstudio::conf 2017 takes place January 12-14 at the Gaylord Resorts in Kissimmee, Florida. Read more →

Today we’re excited to announce R Notebooks, which add a powerful notebook authoring engine to R Markdown. Notebook interfaces for data analysis have compelling advantages including the close association of code and output and the ability to intersperse narrative with computation. Notebooks are also an excellent tool for teaching and a convenient way to share analyses. You can try out R Notebooks today in the RStudio Preview Release. Interactive R Markdown As an authoring format, R Markdown bears many similarities to traditional notebooks like Jupyter and Beaker. Read more →

The JSM conference in Chicago, July 31 thru August 4, 2016, is one of the largest to be found on statistics, with many terrific talks for R users. We’ve listed some of the sessions that we’re particularly excited about below. These include talks from RStudio employees, like Hadley Wickham, Yihui Xie, Mine Cetinkaya-Rundel, Garrett Grolemund, and Joe Cheng, but also include a bunch of other talks about R that we think look interesting. Read more →

Following our initial and very gratifying Shiny Developer Conference this past January, which sold out in a few days, RStudio is very excited to announce a new and bigger conference today! rstudio::conf, the conference about all things R and RStudio, will take place January 13 and 14, 2017 in Orlando, Florida. The conference will feature talks and tutorials from popular RStudio data scientists and developers like Hadley Wickham, Yihui Xie, Joe Cheng, Winston Chang, Garrett Grolemund, and J. Read more →

UseR! 2016 has arrived and the RStudio team is at Stanford to share our newest products and latest enhancements to Shiny, R Markdown, dplyr, and more. Here’s a quick snapshot of RStudio related sessions. We hope to see you in as many of them as you can attend! Monday June 27 Morning Tutorials Dynamic Documents with R Markdown -Karl Broman, Ian Lyttle, Yihui Xie Using Git and Github with RStudio and R Markdown - Jenny Bryan Read more →

Today we’re excited to announce flexdashboard, a new package that enables you to easily create flexible, attractive, interactive dashboards with R. Authoring and customization of dashboards is done using R Markdown and you can optionally include Shiny components for additional interactivity. Highlights of the flexdashboard package include: Support for a wide variety of components including interactive htmlwidgets; base, lattice, and grid graphics; tabular data; gauges; and value boxes. Read more →