This is an older (2009) video from the kickoff meeting of the San Francisco Bay Area R Users Group. It was a panel discussion within the Predictive Analytics World conference. Video courtesy by Ron Fredericks of LectureMaker (click on the … Continue reading →
TDWI (The Data Warehousing Institute) recently published a comprehensive article about R and increasing level of activity around it from commercial organizations, including Revolution Analytics. The article opens with: In statistical circles, "R" is the name of an open source programming language for statistical analysis. These days, it might also be shorthand for "rock star." Many of the companies...
Revolution CEO Norman Nie just recorded a live podcast with Terry Sweeney of Internet Evolution Radio. In the 30-minute interview, Norman talked about the history of R, his time with SPSS, development plans for Revolution R, and how predictive analytics is impacting businesses, the Web, and even political opinion. You can hear the recorded interview at the link below....
Here's an interesting competition that may well lend itself to R: the IEEE International Conference on Data Mining is running a contest to find the best way of predicting traffic problems. There are three separate contests: Predicting congestion: a series of measurements from 10 selected road segments is given and the goal is to make short-term predictions of future...
Data must be selected carefully. The predictive usefulness of the model is grossly diminished if outliers taint the available data. Figure 1, for instance, shows the Defense spending (as a fraction of the national budget) between 1948 and 1968. Note how the trend curve (as defined by our linear difference model from the last post: see
I really enjoyed all four talks at today's online conference, Making Data Work. (Disclosure: Revolution sponsored this conference.) I thought the four speakers together gave a great overview of issues related to the processing, analysis, and visualization of big data. Mike Driscoll started off with a useful categorization for data size. "Small Data" (<10Gb) fits in the memory of...
Really pleased with how our webinar today, Supercharge BI and Dashboards with Predictive Analytics, turned out. Steve Miller from OpenBI gave a great introduction to the motivations and need for predictive analytics. Andrew Lampitt from Jaspersoft was next up, with an overview of the Jaspersoft system for BI reports and dashboards. My section focused mainly on R and its...
If you haven't done so already, it's not too late to register for tomorrow's 1-hour webinar, Supercharge BI and Dashboards with Predictive Analytics. I'll be one of the presenters, talking about R and its applications for business intelligence. The topics and speakers will be: Introduction: Analytics and BI (Steve Miller, OpenBI) How BI Complements Predictive Analytics (Andrew Lampitt, Jaspersoft)...
Steve Miller at the InformationManagement blog has been looking at predictive analytics tools for business intelligence applications, and naturally turns to the statistical modeling and prediction capabilities of R. Says Steve: The R Project for Statistical Computing continues to dazzle in the open source world, with exciting new leadership at Revolution Computing promising to align commercial R with business...
This article by REvolution Computing CEO Norman Nie is crossposted from the Future of Open Source Forum. The R Project: despite there being over 2 million users of this open-source language for statistical data analysis, you might not have heard of it ... yet. You might have seen this feature in the New York Times last year, and you...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
