Publications by Joseph Rickert
Alpha Testing RevoScaleR running in Hadoop
by Joseph Rickert At Revolution Analytics our mission is to establish R as the driver for Enterprise level computational frameworks. In part, this means that a data scientist ought to be able to develop an R based application in one context, e.g. her local PC, and then get it moving by changing horses on the fly (so to speak) and have it run on a...
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R and The Journal of Computational and Graphical Statistics
by Joseph Rickert I don’t think that most people find reading the articles in the statistical journals to be easy going. In my experience, the going is particularly rough when trying to learn something completely new and I don’t expect it could be any other way. There is no getting around the hard work. However, at least in the field of compu...
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Revolution’s 2014 R User Group Sponsorship Program Begins October 1st!
by Joseph Rickert On October 1st, Revolution Analytics opens the 2014 season for sponsoring R user groups. Over the past few months we have seen quite a few new user groups start up and we expect the trend to continue into 2014. We hope that our 2014 sponsorship program will help to sustain the momentum.The following figure shows the increase in ...
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R and Data Week 2013
by Joseph Rickert Data Week 2013 is being held this week in sunny San Francisco at the Fort Mason conference center overlooking the Bay. Holding a Bay Area R User Group Meeting (BARUG) at Data Week helped to raise the R consciousness among the hip conference crowd attracted by the intoxicating mix of blue skies, big data hype, startups and visio...
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The ACM 2013 Mining Big Data Camp and "Un-Conference"
by Joseph Rickert The 2013 Mining Big Data Camp was held last Saturday at Ebay’s Town Hall Conference Center in San Jose. The San Francisco chapter of the ACM has been sponsoring this data mining themed, “un-conference” event since 2009. Attendance, this year was lighter than I remembered in the past, however, the event continues to be a vi...
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NESSIS 2013: The future of sports statistics is here!
by Joseph Rickert We have been following sports statistics regularly on the Revolutions Blog with quite a few sports related posts this year. In one post I did back in April about the Latham R package for baseball statistics I speculated on how baseball was poised to move from Moneyball style predictive analytics to real-time descriptive stats b...
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Finding R in a Hadoop World
by Joseph Rickert The following is a brief report of all things R encountered in my not quite random, but nevertheless far from determined, walk through the O'Reilly Strata / Hadoop World Conference held this week in NYC. To start off, I had the pleasure of doing a 9:00 AM Monday morning joint tutorial with Antonio Piccolboni, the principal devel...
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The R Backpages
by Joseph Rickert As an avid newspaper reader (I still get the print edition of the New York Times delivered every Sunday morning) I have always thought that some of the most interesting news is to be found in the back pages. So, in that spirit here are some things that I thought might be fit to print. Plotly has new R interface in Beta Test Plo...
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Counting the Dead in Syria
by Joseph Rickert This past June, the Human Rights Data Analysis Group (HRDAG), a San Francisco based non-profit organization, released its report: “Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic”. The report is grim reading, but it represents the necessary, rational work the needs to be done if the worl...
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R and Bayesian Statistics
by Joseph Rickert Drew Linzer, the Bayesian statistician who attracted considerable attention last year with his spot-on, R-based forecast of the 2012 presidential election, recently gave a tutorial on Bayesian statistics to the Bay Area useR Group (BARUG). Drew covered quite a bit of ground running R code that showed how to make use of WinBugs, ...
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