REvolution

Revolution Newsletter: August 2011

August 12, 2011 | David Smith

The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full August edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Free 30-minute introduction to Revolution R ... [Read more...]

Program for useR! 2011 available

July 28, 2011 | David Smith

The final program for the worldwide user conference, useR! 2011, is now available as a downloadable booklet (PDF, 7Mb). Revolution Analytics is very proud to sponsor this annual gathering of R users from around the world, and the program includes an outstanding lineup of speakers from the R Core Group, package ... [Read more...]

GigaOm article on R, Big Data and Data Science

July 18, 2011 | David Smith

I'm really pleased that an article I wrote, "5 real-world uses of big data", has been published in the widely-read technology blog GigaOm. In the article, I review five examples of using data science techniques and R to make sense of some large real-world data sets: Drew Conway's analysis of the ... [Read more...]

Revolution Newsletter: July 2011

July 14, 2011 | David Smith

The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full July edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Beta Test Revolution R Enterprise 5.0. Are ... [Read more...]

How Marketo uses Revolution R Enterprise

July 6, 2011 | David Smith

Marketo, a leading marketing automation company, relies on data analysis to implement the features in its hosted application that help companies get the most out of their marketing dollar. We've just published a case study about how Marketo uses Revolution R Enterprise and the R language to analyze the massive ... [Read more...]

Contributions to the R Project

July 4, 2011 | David Smith

The R Project would not exist without the contributions of the R Core Group, the 21 volunteer statisticians and computer scientists from around the world who have donated their time and expertise to create the R langauge, its core packages, and manage its regular release and binary distribution process via the ... [Read more...]

Benchmarking Revolution R for data mining

June 28, 2011 | David Smith

The blog Heuristically Andrew puts Revolution R through its paces by running some benchmarks versus open-source R for data mining applications. The benchmarks set out to answer the following question: I recently upgraded my notebook (where I often use R for data mining) and was faced with two questions: for ... [Read more...]

Big-Data PCA: 50 years of stock data

June 17, 2011 | Sherry Lamonica

In this post, Revolution engineer Sherry LaMonica shows us how to use the RevoScaleR big-data package in Revolution R Enterprise to do principal components analysis on 50 years of stock market data -- ed. Principal components analysis, or PCA, seeks to find a set of orthogonal axes such that the first ... [Read more...]

The Big Analytics Revolution starts with R

June 15, 2011 | David Smith

Thanks to everyone who attended our webinar The 'Big Analytics' Revolution Starts with R yesterday. If you missed the live session, you can download the presentation slides (PDF) and the 30-minute replay video (WMV) from the Revolution Analytics website. The presentation focuses on the isse of Big Data, and how ... [Read more...]

Real-time Analytics for Capital Markets with Revolution R

June 8, 2011 | David Smith

In the 2011 edition of the Sybase Capital Markets Guide, Revolution Analytics CTO David Champagne talks about the need for up-to-date analytics in Finance, and how you can integrate Revolution R with quality real-time data sources. Here's an excerpt: R represents a radically different approach to the challenges posed by analyzing ... [Read more...]

K-Means Clustering on Big Data

June 7, 2011 | Joseph Rickert

In this post Joseph Rickert demonstrates how to build a classification model on a large data set with the RevoScaleR package. A script file for use with Revolution R Enterprise to recreate the analysis below is at the end of the post, and can also be downloaded here -- ed. ... [Read more...]

In case you missed it: April Roundup

May 17, 2011 | David Smith

In case you missed them, here are some articles from April of particular interest to R users. The Heritage Health Prize, a competition to build predictive models for hospitalization with USD$3.2M in prizes, is open. The Inside-R.org community site now provides the ability to search and view the ... [Read more...]

Gartner: Revolution Analytics a "Cool Vendor" for BI

April 29, 2011 | David Smith

Leading analyst firm Gartner has just published its "Cool Vendors in Analytics and Business Intelligence" report for 2011 (download it here if you have a Gartner subscription). In the report, Revolution Analytics is named a Gartner Cool Vendor, and recognizes the company as "innovative, impactful and intriguing": Driven in part by ... [Read more...]

Can you do better than cap-weighted equity benchmarks?

April 28, 2011 | David Smith

We're on our way to Chicago for the annual conference for R users in Finance, R/Finance 2011. Revolution Analytics is proud to once again sponsor this conference, and during the sponsor lunch session at noon on Saturday, we're honoured to have Guy Yollin show how the big-data capabilities of Revolution ... [Read more...]

Revolution R Enterprise 4.3 now available

April 26, 2011 | David Smith

We've just released the latest update to Revolution R Enterprise, version 4.3. This release includes version 2.12.2 of the open-source R engine linked with high-performance libraries, and packages it with additional functionality from Revolution Analytics for big data statistics, web services deployment, a Windows UI for R programming and debugging, and much ... [Read more...]
1 4 5 6 7 8 10

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)