Monthly Archives: October 2013

R and Data Week 2013

October 3, 2013
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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...

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Top 250 Movies at IMDb

October 2, 2013
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Top 250 Movies at IMDb

Some years ago I allowed myself to accept a challenge to read the Top 100 Novels of All Time (complete list here). This list was put together by Richard Lacayo and Lev Grossman at Time Magazine. To start with I could tick off a number of books that I had already read. That left me with around 75

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Tomorrow: R+Hadoop Webinar with Cloudera and Revolution Analytics

October 2, 2013
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If you haven't already registered, don't miss tomorrow's webinar presented by Cloudera's Director of Product Strategy, Jairam Ranganathan and Michele Chambers, Chief Strategy Officer at Revolution Analytics. This will be a great opportunity to learn how R and CDH (Cloudera's Hadoop distribution) work together with the forthcoming Revolution R Enterprise 7. Here's what they will be talking about: The...

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New JerseyR User Group Meeting – 22nd October 2013, Iselin NJ

October 2, 2013
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We are pleased to announce details of the next New Jersey R meeting; this is a free event open to anyone using or interested in using R. Venue:  Hilton Woodbridge, 120 Wood Avenue South, Iselin, NJ 08830 Time:     6.30 pm – 10pm Presentations (from 7pm) • Using knitr to create reports –  Adam Rich, Beazley Group • Using R...

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R PMML Support: BetteR than EveR

October 2, 2013
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R PMML Support: BetteR than EveR

How does it work? Simple! Once you build your model in R using any of the PMML supported model types, pass the model object as an input parameter to the pmml package as shown in the figure below.The pmml package offers export for a variety of model types, including:   •   ksvm (kernlab): Support Vector Machines    •   nnet: Neural Networks    •   rpart: C&RT Decision Trees    •   lm & glm (stats):...

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First day of State of Food Insecurity (SOFI) 2013

October 2, 2013
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First day of State of Food Insecurity (SOFI) 2013

The FAO flagship publication SOFI 2013 was release yesterday on the 1st of October, the publication is the most important report in monitoring the progress towards the 2015 Millenium Development Goal and ultimately eliminate hunger. I was interest in how the people responded, so I scrapped some data from Twitter and previous work to carry...

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The Uncertainty of Predictions

October 2, 2013
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The Uncertainty of Predictions

There are many kinds of intervals in statistics.  To name a few of the common intervals: confidence intervals, prediction intervals, credible intervals, and tolerance intervals. Each are useful and serve their own purpose. I’ve been recently working on a couple of projects that involve making predictions from a regression model and I’ve been doing some

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R with Big Data on Hortonworks

October 1, 2013
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If you missed last week's webinar with John Kreisa from Hortonworks (hosted by Data Science Central), we described how R fits into the Modern Data Architecture. Not only can you extract and distil data in Hadoop with the open-source RHadoop project, but with the forthcoming release of Revolution R Enterprise 7 you will be able to run the high-performance...

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What’s the Most “Concave” State in the U.S.? Using R to Solve a Geography Puzzle

October 1, 2013
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What’s the Most “Concave” State in the U.S.? Using R to Solve a Geography Puzzle

This is a guest post by Todd Schneider and the original link is http://news.rapgenius.com/Atodd-whats-the-most-concave-state-in-the-us-using-r-to-solve-a-geography-puzzle-lyrics. The puzzle: find two points inside the United States such that Both points are in the same state The straight line segment (shortest great circle) connecting them crosses the largest number of distinct states This came up during a recent road trip through Pennsylvania, Maryland, West Virginia,...

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Book example – iterative function systems for generating fractals

October 1, 2013
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Book example – iterative function systems for generating fractals

A number of people suggested that my book, Modeling Data With Functional Programming In R, be more upfront with examples …Continue reading »

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