Monthly Archives: January 2012

Some Rcpp benchmarks

January 22, 2012
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I ran the Fibonacci number example from the Rcpp package on a number of computers and operating systems. Here are the results:A. On my main computer (Core 2 Extreme 3.06GHz, 8 GB memory) running Ubuntu 10.04 (g++ 4.4.3):        test...

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Simulating average height of a random binary search tree

January 22, 2012
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Simulating average height of a random binary search tree

Recently on Stack Overflow I have found a discussion on Average height of a binary search tree. The problem has been solved analytically, see for example Reed (2003). However, I was intrigued by one of the answers that presented a simulation ...

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Cluster your Facebook friends

January 22, 2012
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Cluster your Facebook friends

Last week, I came across two interesting posts by Romain François and Petr Simecek: Crawling Facebook with R, in which Romain explains how to connect to the Facebook Graph API Mining Facebook Data: Most “Liked” Status and Friendship Network, in which Petr use Romain’s function to visualize your friend’s network. As coincidence would have it, I also came across an...

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Time Series Intervention Analysis wih R and SAS

January 21, 2012
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Time Series Intervention Analysis wih R and SAS

In a previous post, I worked through the theory behind intervention analysis. In his time series course, University of Georgia political science professor Jamie Monogan demonstrates how to implement intervention analysis in R.  The following examp...

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Lessons learned from a recent R package submission

January 21, 2012
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Lessons learned from a recent R package submission

R has zillions of packages, and people are submitting new ones each day. The volunteers who keep R going are doing an incredibly useful service to the profession, and they’re busy. A colleague sends in some suugestions based on a recent experience with a package update: 1. Always use the R dev version to write The post Lessons...

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Ten reasons to love the cloud

January 21, 2012
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Ten reasons to love the cloud: The names on Heroku. empty-moon-9726. Suddenly the cloud seems prosaic when you can have the moon. Being reunited with putty. It’s like catching up with an old friend. At first the conversation is a little stilted, but then you soon remember just how well you got on and what brought you together in the first...

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Initial thanks

January 21, 2012
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Starting this blog with initial thanks to Josh Suereth from whom I cloned the template of this blog, Tom Preston-Werner who made Jekyll (a static site generator for this blog), Scott Chamberlain who made me aware of it.

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A Quick View Over a MASHe Google Spreadsheet Twitter Archive of UKGC12 Tweets

January 20, 2012
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A Quick View Over a MASHe Google Spreadsheet Twitter Archive of UKGC12 Tweets

Following on from A Tool Chain for Plotting Twitter Archive Retweet Graphs – Py, R, Gephi, here’s a quick view summary view over #UKGC12 tweets saved in Google Spreadsheet archive as developed by Martin Hawksey, generated from an R script (R code available here; #ukgc12 tweet archive here)… (I did mean to tidy these up,

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Separation of degrees

January 20, 2012
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Separation of degrees

Scientific American has a short article on trends in undergraduate degrees over the past 20 years, illustrated with a great infographic by Nathan Yau. As a big fan of STEM (science, tech, engineering and math) education, I was pleased to … Continue reading →

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R Regression Diagnostics Part 1

January 20, 2012
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R Regression Diagnostics Part 1

Linear regression can be a fast and powerful tool to model complex phenomena. However, it makes several assumptions about your data, and quickly breaks down when these assumptions, such as the assumption that a linear relationship exists between the predictors and the dependent variable, break down. In this post, I will introduce some diagnostics that you can...

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