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Revolution Newsletter: August 2013

August 19, 2013
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The most recent edition of the Revolution Newsletter is now available. In case you missed it, the news section is below, and you can read the full August edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. What is R? Has anyone ever asked you,...

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The Bayesian Counterpart of Pearson’s Correlation Test

August 19, 2013
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The Bayesian Counterpart of Pearson’s Correlation Test

Except for maybe the t test, a contender for the title “most used and abused statistical test” is Pearson’s correlation test. Whenever someone wants to check if two variables relate somehow it is a safe bet (at least in psychology) that the first thing to be tested is the strength of a Pearson’s correlation. Only if that doesn’t...

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Is the Tax Code the longest Title?

August 19, 2013
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Is the Tax Code the longest Title?

  Last week, I shared that Dan Katz and I had finally published a draft of our paper, Measuring the Complexity of the Law: The U.S. Code.  We’d previewed this research on Computational Legal Studies years ago.  Since then, we’ve received great… Read more ›

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Clarifying vague interactions

August 18, 2013
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Clarifying vague interactions

For some reason, authors occasionally present linear model results with vague or unintelligible interaction effects. One way to be vague when presenting interaction effects is to provide only a table of model coefficients, including no information on the range of covariate values observed, and no plots to aid in interpretation. Here’s an example: Suppose you have discovered a statistically significant...

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Mapping Australian electoral divisions with ggplot2

August 18, 2013
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Mapping Australian electoral divisions with ggplot2

I’ve seen some creative visualisations of issues surrounding the Australian election recently though not as many maps as I expected. ‘ggplot2′ is the go-to package for plotting in R so I thought I’d see if I could plot the Australian electoral divisions with ggplot2. By using the Australian Electoral Commission’s GIS mapping coordinates and mutilating

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Negative Payments in Local Spending Data

August 17, 2013
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Negative Payments in Local Spending Data

In anticipation of a new R library from School of Data data diva @mihi_tr that will wrap the OpenSpending API and providing access to OpenSpending.org data directly from within R, I thought I’d start doodling around some ideas raised in Identifying Pieces in the Spending Data Jigsaw. In particular, common payment values, repayments/refunds and “balanced

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Working with climate data from the web in R

August 17, 2013
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Working with climate data from the web in R

I recently attended ScienceOnline Climate, a conference in Washington, D.C. at AAAS. You may have heard of the ScienceOnline annual meeting in North Carolina - this was one of their topical meetings focused on Climate Change. I moderated a session on working with data from the web in R, focusing on climate data. Search Twitter for...

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Working with climate data from the web in R

August 17, 2013
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Working with climate data from the web in R

I recently attended ScienceOnline Climate, a conference in Washington, D.C. at AAAS. You may have heard of the ScienceOnline annual meeting in North Carolina - this was one of their topical meetings focused on Climate Change. I moderated a session on working with data from the web in R, focusing on climate data. Search Twitter for...

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Foodborne Chicago finds dodgy restaurants with tweets, and R

August 16, 2013
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Foodborne Chicago finds dodgy restaurants with tweets, and R

If, like me, you've ever had a sandwich from a dubious deli and then been laid up for days afterwards, you know that food poisoning is no trifling matter. In the past, local authorities would only ever learn of such public health issues if they get reported to the authorities by the victim (or the victim's doctor). But that...

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Creating a Quick Report with knitr, xtable, R Markdown, Pandoc (and some OpenBLAS Benchmark Results)

August 15, 2013
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Creating a Quick Report with knitr, xtable, R Markdown, Pandoc (and some OpenBLAS Benchmark Results)

To cut a long story short, I always wanted to write professional-looking documents (technical reports and potentially my thesis) with R codes. No more copy and paste. No more Microsoft Word. At the same time, I don't feel comfortable with LaTeX. Somehow I found a workaround with knitr, xtable, R Markdown...

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