I’m pleased to announce the release of haven 1.1.0. Haven is designed to faciliate the transfer of data between R and SAS, SPSS, and Stata. It makes it easy to read SAS, SPSS, and Stata file formats in to R data frames, and makes it easy to save your R data frames in to SPSS and Stata if you need to collaborate with others using closed source statistical software. Install the latest version by running: Read more →

RStudio is very excited to announce that rstudio::conf 2018 is open for registration! rstudio::conf, the conference on all things R and RStudio, will take place February 2 and 3, 2018 in San Diego, California, preceded by Training Days on January 31 and February 1. This year’s conference will feature keynotes from Di Cook, Monash University Professor and Iowa State University Emeritus Faculty; and J.J. Allaire, RStudio Founder, CEO & Principal Developer, along with talks from Shiny creator Joe Cheng and (no-introduction-necessary) Hadley Wickham. 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 →

I’m pleased to announce the release of the dbplyr package, which now contains all dplyr code related to connecting to databases. This shouldn’t affect you-as-a-user much, but it makes dplyr simpler, and makes it easier to release improvements just for database related code. You can install the latest version of dbplyr with: install.packages("dbplyr") DBI and dplyr alignment The biggest change in this release is that dplyr/dbplyr works much more directly with DBI database connections. Read more →

I’m pleased to announce that bigrquery 0.4.0 is now on CRAN. bigrquery makes it possible to talk to Google’s BigQuery cloud database. It provides both DBI and dplyr backends so you can interact with BigQuery using either low-level SQL or high-level dplyr verbs. Install the latest version of bigrquery with: install.packages("bigrquery") Basic usage Connect to a bigquery database using DBI: library(dplyr) con <- DBI::dbConnect(dbi_driver(), project = "publicdata", dataset = "samples", billing = "887175176791" ) DBI::dbListTables(con) #> [1] "github_nested" "github_timeline" "gsod" "natality" #> [5] "shakespeare" "trigrams" "wikipedia" (You’ll be prompted to authenticate interactively, or you can use a service token with set_service_token(). Read more →

I’m pleased to announce that dplyr 0.7.0 is now on CRAN! (This was dplyr 0.6.0 previously; more on that below.) dplyr provides a “grammar” of data transformation, making it easy and elegant to solve the most common data manipulation challenges. dplyr supports multiple backends: as well as in-memory data frames, you can also use it with remote SQL databases. If you haven’t heard of dplyr before, the best place to start is the Data transformation chapter in R for Data Science. Read more →

RStudio is excited to announce the availability of its flagship enterprise-ready integrated development environment for R in AWS Marketplace. RStudio Server Pro AWS is identical to RStudio Server Pro, but with turnkey convenience. It comes pre-configured with multiple versions of R, common systems libraries, and the most popular R packages. RStudio Server Pro AWS helps you adapt to your unique circumstances. It allows you to choose different AWS computing instances no matter how large, whenever a project requires it (flat hourly pricing). Read more →

We’re excited to announce a powerful new ability to organize content in RStudio Connect: version 1.5.0. Tags allow publishers to arrange what they’ve published and enable users to find and discover the content most relevant to them. The release also includes a newly designed (and customizable!) landing page and multiple important security enhancements. Tagging Content with a Custom Tag Schema Tags can be used to manage and organize servers that have hundreds or even thousands of pieces of content published to them. Read more →

Shinydashboard 0.6.0 is now on CRAN! This release of shinydashboard was aimed at both fixing bugs and also bringing the package up to speed with users’ requests and Shiny itself (especially fully bringing bookmarkable state to shinydashboard’s sidebar). In addition to bug fixes and new features, we also added a new “Behavior” section to the shinydashboard website to explain this release’s two biggest new features, and also to provide users with more material about shinydashboard-specific behavior. Read more →

We love to engage with R and RStudio users online in webinars and communities because it is so efficient for everyone. But sometimes it’s great to meet in person, too! Next week RStudio will be in Miami, Baltimore and Chicago. We wanted to let you know in case you’ll be there at the same time and want to “Connect” (yes, we said it :)) with us. At each of these events we’ll have the latest books signed by RStudio authors, t-shirts to win, demonstrations of RStudio Connect and RStudio Server Pro and, of course, stickers and cheatsheets. Read more →