News
RStudio presents Essential Tools for Data Science with R
2014-07-16
Roger Oberg
The RStudio team recently rolled out new capabilities in RStudio, shiny, ggvis, dplyr, knitr, R Markdown, and packrat. The “Essential Tools for Data Science with R” free webinar series is the perfect place to learn more about the power of these R packages from the authors themselves.
Click to learn more and register for one or more webinar sessions. You must register for each separately. If you miss a live webinar or want to review them, recorded versions will be available to registrants within 30 days.
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Come see RStudio at UseR! 2014
2014-06-24
Roger Oberg
The R User Conference 2014 is coming up fast in Los Angeles!
RStudio will be there in force to share the latest enhancements to shiny, ggvis, knitr, dplyr. R markdown, packrat and more. Here’s a quick snapshot of our scheduled sessions. We hope to see you in as many of them as you can attend!
Monday, June 30
Morning Tutorials
_Interactive graphics with ggvis _- Winston Chang
Dynamic Documents with R and knitr - Yihui Xie
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New Version of RStudio: R Markdown v2 and More
2014-06-18
RStudio Team
Today we’re very pleased to announce a new version of RStudio (v0.98.932) which is available for download now. New features in this release include:
A next generation implementation of R Markdown with a raft of new features including support for HTML, PDF, and Word output, many new options for customizing document appearance, and the ability to create presentations (Beamer or HTML5).
Interactive Documents (Shiny meets R Markdown). Readers can now change the parameters underlying your analysis and see the results immediately.
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R Markdown v2
2014-06-18
Yihui Xie

reshape2 1.4; Kevin Ushey joins Rstudio
2014-05-09
Hadley Wickham
reshape2 1.4 is now available on CRAN. This version adds a number of useful arguments and messages, but mostly importantly it gains a C++ implementation of melt.data.frame(). This new method should be much much faster (>10x) and does a better job of preserving existing attributes. For full details, see the release notes on github.
The C++ implementation of melt was contributed by Kevin Ushey, who we’re very pleased to announce has joined RStudio.
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Announcing RStudio Shiny Server Pro v1.1
2014-04-22
Roger Oberg
We are happy to announce the availability of v1.1 of RStudio Shiny Server Pro, our commercial server for deploying Shiny applications. In this release we took your feedback and made it easier for you to integrate Shiny Server Pro into your production environments. With Shiny Server Pro v1.1 you now can:
Control access to your applications with Google Authentication (OAuth2).
Create sessions and authenticate with PAM (auth_pam and pam_sessions_profile).
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Shiny 0.8.0 released; Yihui Xie joins RStudio
2013-11-15
Joe Cheng

The RStudio CRAN mirror
2013-06-10
Hadley Wickham
RStudio maintains its own CRAN mirror, http://cran.rstudio.com. The server itself is a virtual machine run by Amazon’s EC2 service, and it syncs with the main CRAN mirror in Austria once per day. When you contact http://cran.rstudio.com, however, you’re probably not talking to our CRAN mirror directly. That’s because we use Amazon CloudFront, a content delivery network, which automatically distributes the content to locations all over the world. When you try to download a package from the Rstudio cloud mirror, it’ll be retrieved from a local CloudFront cache instead of the CRAN mirror itself.
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Where in the world is R and RStudio
2012-10-01
Hadley Wickham

Welcome Hadley, Winston, and Garrett!
2012-08-20
RStudio Team
RStudio’s mission from the beginning has been to create powerful tools that support the practices and techniques required for creating trustworthy, high quality analysis. For many years Hadley Wickham has been teaching and working on his own set of tools for R with many of the same core goals. We’ve been collaborating quite a bit with Hadley over the past couple of years and today we’re excited to announce that Hadley, Winston Chang, and Garrett Grolemund are joining RStudio so we can continue to work together much more closely.
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