Monthly Archives: October 2013

Post 0: Getting Started with R

October 4, 2013
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Post 0: Getting Started with R

R is an interpreted programming language that makes it easy to think about statistics instead of thinking about programming. Unlike other programming languages, R is commonly used by typing commands one-at-a-time in an interactive session. RStudio is a program that … Continue reading →

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Dealing with a stochastic fitness function in GA package

October 4, 2013
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Dealing with a stochastic fitness function in GA package

Guest post by Kim Man Lui, PhD. (about GA – an R package for optimization using genetic algorithms) The GA package (version 2.0) is a generic package in which one can define his/her own functions of fitness, selection, crossover and mutation. Among those functions, the most important is the fitness. However, in the GA package, the fitness function has...

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Questions on my online forecasting course

October 3, 2013
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I’ve been getting emails asking questions about my upcoming course on Forecasting using R. Here are some answers. Do I need to use the Revolution Enterprise version of R, or can I use open-source R? Open source R is fine. Revolution Analytics is organizing the course, but there is no requirement to use their software. I will be using...

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The MakeR way: Using R to reify social media data via 3d printing

October 3, 2013
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The MakeR way: Using R to reify social media data via 3d printing

If you’ve read any of my previous posts you know

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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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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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