Latest: Open Source
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...
There’s been lots of excitement about the new R Markdown feature introduced as part of knitr 0.5 and RStudio 0.96. People see R Markdown as both a simpler way to do reproducible research and as...
There’s an updated release of RStudio v0.96 available that includes some small enhancements and bugfixes, including: Comment/uncomment for Sweave and LaTeX Additional in-product...
Today a new version of RStudio (v0.96) is available for download from our website. The main focus of this release is improved tools for authoring, reproducible research, and web publishing. This means...
The final version of RStudio v0.95 is now available for download from our website (thanks to everyone who put the preview release through its paces over the last couple of weeks!). Highlights of the...
The next version of RStudio (v0.95) is now available as a preview release. Highlights include: Projects – A new system for managing R projects that enables easy switching between working...
With R 2.14 slated to be released next week we wanted to encourage everyone planning to upgrade to also update to the latest release of RStudio (v0.94.110). For R 2.14 users this release includes...
RStudio Beta 3 (v0.94) is available for download today. The goal for this release was to refine and improve our core features based on the feedback we’ve gotten on our first two betas....
RStudio Beta 2 (v0.93) is available for download today. We’ve gotten incredibly helpful input from the R community and this release reflects a lot of that feedback. The release notes have the...
RStudio is a new open-source IDE for R which we’re excited to announce the availability of today. RStudio has interesting features for both new and experienced R developers including code...
We started the RStudio project because we were excited and inspired by R. The creators of R provided a flexible and powerful foundation for statistical computing; then made it free and open so that it...
