RStat^® is an enterprise-strength statistical computing environment combining the strengths of the open source R statistical software system from the R Project coupled with enterprise-level support and services from Random Technologies.

Basic features

• Wide variety of statistical (linear and nonlinear modeling, classical statistical test, time-series analysis classification clustering,...) and graphical techniques

• Award winning “S” language

• Advanced development and documentation tools

• Huge-library of user-contributed add-on packages

• Large pool of users and developers

Enhanced Features

• Complete installers for x86 Linux (32 and 64 bit), Microsoft Windows, Sparc Solaris (32 and 64 bit), and Mac OS X (PPC and x86)

• Bundled integrated editor (Windows: Tinn-R, Unix: XEmacs+ESS)

• Standard set of high-quality extension packages pre-installed

• Complete CRAN archive included (850+ packages)

• Audit log

• Package version and location information displayed when loaded

Performance

• Optimized binaries of RStat^® and supported packages

• Performance-tuned math libraries

• Support for multiple-CPU and multiple-core systems (optional)

• Parallel/distributed computing libraries (optional)

   

• Techincal support via phone and email

• Critical issue bug-fixes and patches for 3 years from release

• Yearly updates, including standard and user-contributed package

Validation Materials (Enterprise Version Only)

• Software Development, including

 - Core RStat^®

 - Supported Extension Package

• Fitness for purpose Validation templates

Documentation

• Draft R Language definition

• RStat^® Installation and Administration

• RStat^® Reference Index

• Manual pages and vignettes for all supplied components

Training Courses (on and off-site)

• RStat^® Administration

• Introduction to RStat^®: Data Analysis and Graphics

• Intermediate RStat^®: Statistical Computing and Graphics

• Advanced RStat^®: Writing Extensions

• Parallel and distributed computing using RStat^®

Example plots