June 2009

Parallel computing in R: snowfall/snow

June 20, 2009 | Vinh Nguyen

I finally have time to try parallel computing in R using snowfall/snow thanks to this article in the 1st issue of R journal, which replaces R news. I didn’t try it before because i didn’t have a good toy example, and it seemed like a steep learning ... [Read more...]

Network Analysis Software: focus on F/OSS

June 20, 2009 | Ben Mazzotta

What do you use for network analysis? I found the Wikipedia list of network software entirely overwhelming. I wanted to test out some of the introductory tools, but avoid the trap of sinking my time into a dead-end software project. (Remember learning Minitab in freshman statistics? How often do you ... [Read more...]

Analysis of Iran absentee votes

June 20, 2009 | mlt

On http://www.presstv.com/detail.aspx?id=98206&sectionid=351020101 the official Iranian election results outside of Iran are posted. Here is a bit of exploration of the results.The graph shows the number of votes for Ahmadinejad (x-axis) vs. the nu...
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Iran Election analyzed with R

June 19, 2009 | Paolo

Here you can find a very interesting post depicting the R strengths in 'real-time statistics'. I'd like to use the occasion to thank David Smith for hosting the best, imho, blog on R!  Follow Him on Twitter: @revodavid .
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bugsparallel

June 18, 2009 | Gregor Gorjanc

bugsparallel is a Metrum Institute project to run BUGS (via R2WinBUGS) in parallel - McMC is an application, where parallel runs can be used very efficientlly. Here is the code for one example using bugsparallel.Some usefull links:Rosenthal, Parallel c... [Read more...]

open-source campaign finance analysis with R and MySQL

June 18, 2009 | jjh

Introduction In Part 1 of this tutorial we introduced the fechell library by extracting all itemized contributions from individuals made to the Obama For America campaign in 2007 and 2008. In Part 2 of the tutorial we will summarize that data set by importing it into a MySQL database and aggregating contributions by week ...
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The Second Coming

June 18, 2009 | John Myles White

Pew Research has found that 79% of Americans believe in The Second Coming of Jesus. What worries me more is not that 4 out of 5 Americans believe in The Second Coming, but that 1 out of 5 believes it will happen in their lifetime. It seems inevitable t... [Read more...]

Not Just Normal… Gaussian

June 16, 2009 | JD Long

Dave, over at The Revolutions Blog, posted about the big ‘ol list of graphs created with R that are over at Wikimedia Commons. As I was scrolling through the list I recognized the standard normal distribution from the Wikipedia article on the same topic. Below is the fairly simple source ...
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NYT: In Simulation Work, the Demand Is Real

June 16, 2009 | Stephen Turner

The New York Times published this interesting article on how the ability to design and perform computer simulations is a highly marketable skill for careers across many disciplines.In methodology development we use simulation nearly every day. We've developed our own specialized genetic data simulation software, genomeSIMLA, that's freely available ... [Read more...]

Geography and Data

June 15, 2009 | Jared Knowles

The Economist recently ran a fascinating article about the emergence of geographical databases and their uses for presenting and analyzing data.All this has made it much easier to create maps that explain—at a glance—something that might otherwise require pages of tables or verbiage. “A percentage or a ... [Read more...]

Side by side analyses in Stata, SPSS, SAS, and R

June 15, 2009 | Stephen Turner

I've linked to UCLA's stat computing resources once before on a previous post about choosing the right analysis for the questions your asking and the data types you have. Here's another section of the same website that has code to run an identical analysis in all of these statistical packages, ... [Read more...]

Example 7.2: Simulate data from a logistic regression

June 13, 2009 | Ken Kleinman

It might be useful to be able to simulate data from a logistic regression (section 4.1.1). Our process is to generate the linear predictor, then apply the inverse link, and finally draw from a distribution with this parameter. This approach is useful in that it can easily be applied to other ...
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Example 7.1: Create a Fibonacci sequence

June 12, 2009 | Nick Horton

The Fibonacci numbers have many mathematical relationships and have been discovered repeatedly in nature. They are constructed as the sum of the previous two values, initialized with the values 1 and 1.A pdf of this example is available here.SASIn SAS, we use the lag function (section 1.4.17, p. 22) to retrieve the ...
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R tips: Installing Rmpi on Fedora Linux

June 12, 2009 | Allan Engelhardt

Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I ... [Read more...]
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