The growing popularity of R suggests it is headed toward mainstream acceptance by the analytic community. It has also been praised by established media outlets, which is astounding.
Why is an esoteric programming language suddenly all t...
[x+1] Completes Next-Generation POE; Its Origin...
Big Data Analytics – In Real-Time!
Marketing optimization is unquestionably a "Big Data Analytics" challenge, involving terabytes of data derived from internal sources (e.g. CRM systems, call center transcripts and company website activ...
Now you can get all of the power, performance and productivity of Revolution R Enterprise on Amazon Web Services. Revolution R Enterprise 7 on AWS Marketplace includes:
High-performance R language engine, with multi-threading capability...
The Revolution R Enterprise for SAS to R Users Quick Start Program is designed to address the areas of your existing program necessary for successful deployment and operation. A limited engagement that will provide:
The package costs $...
Fully featured, commercially supported machine learning suites that can build Decision Trees in Hadoop are few and far between. Addressing this gap, Revolution Analytics recently enhanced its entire scalable analytics suite to run in H...
When it comes to Big Data, it’s “one thing to be able to query it, but it’s another thing to be able to actually ask that data meaningful questions,” according to Revolution Analytics head of marketing and community David Smith. The exe...
Organize, view, add, remove, rearrange, and deploy R scripts with the visual Solution Explorer
Organize scripts: Use the Solution Explorer to view, add, remove, and rearrange R scripts within one or more Projects contained in the Solution
Start a new R session: From the File menu, select one of your existing R Solutions to start a new R session with easy access to all of the relevant scripts and data
Create Project Templates: Save a Project as a template, and then automatically create a set of customized scripts for a new project. Easily Distribution Solutions to Others: Just zip up your solution directory and give it to colleagues to load and use
Use the enhanced R script editor and get new and occasional R users up and going quickly and greatly improve productivity of experienced users
Hover-over help, word completion, find-across-files capability, automatic syntax checking, bookmarks, and navigation buttons
View all the data and function objects that are available, including those in loaded and installed R packages in the Object Browser
Browse all available objects
Get object-specific information
Plot and edit data
Debug R scripts, with step-in, step-over, and step-out capability, allowing users to inspect and modify R objects as they are debugging
Debug mode for scripts : step through progress line-by-line
Set visual breakpoints directly in R source code
Step into and out of functions while debugging
Inspect variables while debugging
Automatically generate fill-in-the-blank sections of R code for a variety of analyses
Write your own code snippet and share with others
Search the text of all of installed R package help files or all of the included electronic manuals with enhanced help features
Hover-over tooltips for functions and data objects
Analyze larger data sets with 64-bit Windows support