Introduction to Data Science with R, April 28-29 San Francisco

2014-04-03 Roger Oberg
Please join us for our popular Introduction to R course for data scientists and data analysts in San Francisco on April 28 and 29. This is a two-day workshop, designed to provide a comprehensive introduction to R that will have you analyzing and modeling data with R in no time. We will cover practical skills for visualizing, transforming, and modeling data in R. You will learn how to explore and understand data as well as how to build linear and non-linear models in R. Read more →

New Shiny website launched; Shiny 0.9 released

2014-03-27 Joe Cheng
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We’re excited to introduce to you our new website for Shiny: shiny.rstudio.com! We’ve included articles on many Shiny-related topics, dozens of example applications, and an all-new tutorial for getting started. Whether you’re a beginner or expert at Shiny, we hope that having these resources available in one place will help you find the information you need. We’d also like to announce Shiny 0.9, now available on CRAN. This release includes many bug fixes and new features, including: Read more →

httr 0.3

2014-03-21 Hadley Wickham
We’re very pleased to announce the release of httr 0.3. httr makes it easy to work with modern web apis so that you can work with web data almost as easily as local data. For example, this code shows how might find the most recently asked question about R on stackoverflow: # install.packages("httr") library(httr) # Find the most recent R questions on stackoverflow r <- GET( "http://api.stackexchange.com", path = "questions", query = list( site = "stackoverflow. Read more →

dplyr 0.1.3

2014-03-16 Hadley Wickham
dplyr 0.1.3 is now on CRAN. It fixes an incompatibility with the latest version of Rcpp, and a number of other bugs that were causing dplyr to crash R. See the full details in the release notes. Read more →

Announcing Shiny Server Pro general availability

2014-02-26 Roger Oberg
We are excited to announce the general availability of RStudio Shiny Server Pro. Shiny Server Pro is the simplest way for data scientists and R users in the enterprise to share their work with colleagues. With Shiny Server Pro you can: Secure access to Shiny applications with authentication systems such as LDAP and Active Directory Configure a Shiny application to use more than one process Control the number of concurrent users per application Read more →

dplyr 0.1.2

2014-02-25 Hadley Wickham
We’re pleased to announce a new minor version of dplyr. This fixes a number of bugs that crashed R, and considerably improves the functionality of select(). You can now use named arguments to rename existing variables, and use new functions starts_with(), ends_with(), contains(), matches() and num_range() to select variables based on their names. Finally, select() now makes a shallow copy, substantially reducing its memory impact. I’ve also added the summarize() alias for people from countries who don’t spell correctly ;) Read more →

testthat 0.8 (and 0.8.1)

2014-02-25 Hadley Wickham
We’re pleased to announce a new major version of testthat. Version 0.8 comes with a new recommended structure for storing your tests. To better meet CRAN recommended practices, we now recommend that tests live in tests/testthat, instead of inst/tests. This makes it possible for users to choose whether or not to install tests. With this new structure, you’ll need to use test_check() instead of test_packages() in the test file (usually tests/testthat. Read more →

dplyr 0.1.1

2014-01-30 Hadley Wickham
We’re pleased to announce a new minor version of dplyr. This fixes a few bugs that crashed R, adds a few minor new features (like a sort argument to tally()), and uses shallow copying in a few more places. There is one backward incompatible change: explain_tbl() has been renamed to explain. For a complete list of changes, please see the github release notice. As always, you can install the latest version with install. Read more →

roxygen2 3.1.0

2014-01-30 Hadley Wickham
We’re pleased to announce a new version of roxygen2. The biggest news is that roxygen2 now recognises reference class method docstrings and will automatically add them to the documentation. 3.1.0 also offers a number of minor improvements and bug fixes, as listed on the github release notice. As always, you can install the latest version with install.packages("roxygen2"). Read more →

Introducing dplyr

2014-01-17 Hadley Wickham
dplyr is a new package which provides a set of tools for efficiently manipulating datasets in R. dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster, has a more consistent API and should be easier to use. There are three key ideas that underlie dplyr: Your time is important, so Romain Francois has written the key pieces in Rcpp to provide blazing fast performance. Read more →