RStat Architecture

RStat is built on the open source R engine. R is well known as the most powerful and flexible statistical programming language available. It is used by over one million analysts worldwide, is taught in countless universities, and has more than one thousand packaged extensions for various types of analysis exercises.

R is a powerful scripting environment designed for technical users. RStat integrates R within Developer Studio. This user interface provides an easy and intuitive workflow. It incorporates the top most commonly used data mining routines, including regression decision trees, neural networks, clustering, association, support vector machine, and other algorithms that are familiar to business and engineering students. A wide variety of users, including statisticians, business analysts, and other professionals, can easily use RStat to develop models.

The unique capability to compile models as native WebFOCUS functions directly in RStat enables an organization to spread data mining benefits to operational users. Those users will find the scoring application familiar and accessible. Clicking on a web-based form, users can generate scores and predictions to support decision-making without having to know anything about data mining and modeling and without the need to install R or other scoring engines in the operational environment. This ease of use and scalability will drive organizations to adopt more and more users in the predictive modeling environment.

To develop data mining applications, you install RStat on top of Developer Studio. The installation program installs a full R environment. Once RStat is installed, you can use Developer Studio to access data through any Reporting Server. Once a model is built, the model can be compiled and deployed on any WebFOCUS Server. Users do not need to have R or RStat installed on the production environment in order to run scoring applications.

RStat flow chart


WebFOCUS