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REvolution Computing, the leading commercial provider of software and support for the 'R' statistical computing language, announced the release of REvolution R Enterprise 3.0 for Windows.
The latest version of REvolution's industry-leading software features the new R Productivity Environment (RPE') for performing data analysis and developing methods of statistical computing with the R language. Also included is an updated version of ParallelR, which enables R users to complete statistical analyses much more quickly by taking full advantage of multiprocessor systems and network systems.
Rich with new features, REvolution R Enterprise 3.0 for Windows with RPE represents a major advance in production-grade R.
The new Windows user interface gets novices and occasional R users up and going quickly while greatly improving productivity for experienced users. Analysts can easily import data, examine it in the object browser, and choose from a wide array of fill-in-the-blank, automatically generated R routines to perform analyses and create presentation-quality plots. A new visual debugger provides power and flexibility to advanced R users, along with script editing enhancements such as word completion, a solution explorer to organize and deploy analyses.
R scripts that are created or edited in the new Windows interface can be run on any supported REvolution R platform, including 32-bit and 64-bit Windows, as well as Mac OS X and Red Hat Enterprise Linux.
Norman Nie, REvolution's President and CEO, said, 'RPE represents the first in a chain of REvolution product releases designed to provide more accessibility and usability for R users at every level of experience.'
Sue Ranney, Vice President of Product Management, said, 'Anyone looking to deploy R will appreciate how the new REvolution R Enterprise interface improves productivity for R novices and veterans alike. New users get step-by-step guidance for conducting data analysis with R, while power users benefit from the integrated development environment (IDE) to visually debug complex R projects and easily share the resulting functionality with others. This is a big step forward for production-grade R and for predictive analytics.'
The REvolution Enterprise 3.0 for Windows with RPE interface includes the following features:
- Enhanced Script Editor with hover-over help, word completion, find-across-files capability, automatic syntax checking, bookmarks, and navigation buttons.
- R Code Snippets to automatically generate fill-in-the-blank sections of R code for a variety of analyses. Tooltip help gives guidance in filling out the snippet. R function authors can write their own code snippets to share with other users.
- Object Browser allowing users to see all the data and function objects that are available, including those in loaded and installed R packages. Context menus provide the capability to quickly edit and plot data or load a package.
- Full-featured Visual Debugger for debugging R scripts, with step-in, step-over, and step-out capability, allowing users to inspect and modify R objects as they are debugging.
- A Visual Solution Explorer for organizing, viewing, adding, removing, and rearranging, and deploying R scripts. Users can create their own Project Templates for automatic creation of a set of customized scripts for a new R project.
- Dockable, Floating, and Tabbed Tool Windows allowing for personally customized workspaces.
- Enhanced Help including complete search capabilities and hover-over tooltips for functions and data objects.
Take a tour of the new RPE by viewing the on-demand webcast '7 Ways to Increase Your R Productivity ' The New REvolution R Enterprise 3.0 R Productivity Environment for Windows'.
About REvolution Computing
REvolution Computing is the leading commercial provider of software and support for the 'R' statistical computing language. Our products, including REvolution R and REvolution R Enterprise, enable statisticians, scientists and others to create superior predictive models and derive meaning from mission-critical data in record time. REvolution Computing works closely with the R community to incorporate the latest developments in open source R, and with our clients to support their efforts to produce groundbreaking innovations in life sciences, financial services, defense technology and other industries where high-level analytics are crucial to success.
For more information visit http://www.revolution-computing.com.
The product names 'RPE,' 'RPro,' 'ParallelR,' 'REvolution R,' and 'REvolution R Enterprise' are trademarks of REvolution Computing.