As I previewed yesterday, REvolution R Enterprise 2.0 is now available to subscribers. In yesterday’s post, I focused mainly on the process of creating the release; today, I’d like to talk about some of its new features.
As I previewed yesterday, REvolution R Enterprise 2.0 is now available to subscribers. In yesterday’s post, I focused mainly on the process of creating the release; today, I’d like to talk about some of its new features.
- Estimate correlation matrices (and calculate Value at Risk) for much larger financial portfolios
- Use the Bioconductor suite to analyze pharmaceutical and biochemical data from much larger microarrays
- Build predictive models about purchasing behavior on larger databases of customer data, without the need for sampling
“REvolution are to be congratulated on a technical tour de force…This will bring to Windows users the freedom to use R on large problems that users of Unix-like platforms have enjoyed for several years. We did some testing on a 32GB Windows box on behalf of a computational genetics project, and the beta was 100% reliable and comparable in performance to the Rcore 32-bit distribution but able to tackle much larger problems.”
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