We’re pleased to announce that the final version of RStudio v0.98 is available for download now. Highlights of the new release include:
An interactive debugger for R that is tightly integrated with base R debugging tools (browser, recover, etc.)
Numerous improvements to the Workspace pane (which is now called the Environment pane).
R Presentations for easy authoring of HTML5 presentations that include R code, output, and graphics.
A new Viewer pane for displaying local web content (e.g. graphical output from packages like googleVis).
Additional support for developing and running Shiny web applications.
Substantially improved UI performance on Mac OS X.
A Professional Edition of RStudio Server with many new capabilities for enterprise deployment.
There are also lots of smaller improvements and bug fixes across the product, check out the release notes for full details.
The feature we’re most excited about is the addition of a full interactive debugger to the IDE. Noteworthy capabilities of the debugger include:
Setting breakpoints within the source editor, both inside and outside functions
Stepping through code line by line
Inspecting object values and the call stack during debugging
An error inspector for quick access to tracebacks and the debugger after runtime errors
Tight integration with traditional R debugging tools, such as
Here’s a screenshot of the IDE after hitting an editor breakpoint:
For more details on how to take advantage of the new debugging tools, see Debugging with RStudio.
The Workspace pane is now called the Environment pane and has numerous improvements, including:
Browse any environment on the search path
Filtering by name/value
Expand lists, data frames, and S4 objects inline
str() to display object values
Optional grid view sortable by various attributes
Many other small correctness and robustness enhancements
R Presentations enable easy authoring of HTML5 presentations. R Presentations are based on R Markdown, and include the following features:
Easy authoring of HTML5 presentations based on R Markdown
Extensive support for authoring and previewing inside the IDE
Many options for customizing layout and appearance
Publishing as either a standalone HTML file or to RPubs
Here’s a screenshot showing a simple presentation being authored and previewed within the IDE:
For more details see the documentation on Authoring R Presentations.
We’re hopeful that there will be many more compelling uses of the Viewer. For more details see the article Extending RStudio with the Viewer Pane.
We’ve added a number of features to support development of Shiny web applications, including:
The ability to develop and run Shiny applications on RStudio Server (localhost and websocket proxying is handled automatically)
Running Shiny applications within an IDE pane (see the discussion of the Viewer pane below for details)
Create a new Shiny application from within the New Project dialog
Debugging of Shiny applications using the new RStudio debugging tools.
In RStudio v0.98 we also migrated our Mac WebKit engine from a cross-platform framework (Qt) to Cocoa. The original motivation for this was compatibility problems between Qt and OS X Mavericks, but as it turned out the move to Cocoa WebKit yielded substantially faster editor, scrolling, layout, and graphics performance across the board. If you are a Mac user you’ll find everything about the product snappier in v0.98.
In the next major version of RStudio we’re hoping to make comparable improvements in performance on both Linux and Windows by using a more modern WebKit on those platforms as well.
Over the years we’ve gotten lots of feedback from larger organizations deploying RStudio Server on the features they’d like to see for production deployments of the server. With RStudio v0.98 we’re introducing a new Professional Edition of RStudio Server that incorporates much of this feedback. Highlights include:
An administrative dashboard that provides insight into active sessions, server health, and monitoring of system-wide and per-user performance and resource metrics.
Authentication using system accounts, ActiveDirectory, LDAP, or Google Accounts.
Full support for PAM (including PAM sessions for dynamically provisioning user resources).
Ability to establish per-user or per-group CPU priorities and memory limits.
HTTP enhancements including support for SSL and keep-alive for improved performance.
Ability to restrict access to the server by IP.
Customizable server health checks.
Suspend, terminate, or assume control of user sessions.
Impersonate users for assistance and troubleshooting.
With this release we’re also introducing a brand new support and documentation website, please visit us there with questions, feedback, as well as what other improvements you’d like to see in the product.
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Python users can now use Shiny to create interactive data-driven web applications by writing Python code.