Blog Archives

Quickcheck: Randomized unit testing for R

February 4, 2015
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Hadley Wickham's testthat package has been a boon for R package authors, making it easy to write tests to verify that your code is working directly, and alerting you when you make changes to your code that inadvertently breaks things. For the RHadoop project, though, developer Antonio Piccolboni needed a different testing framework, that included the possibility of writing...

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Paris’s history, captured in its streets

February 2, 2015
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Paris’s history, captured in its streets

The following image by Mathieu Rajerison has been doing the rounds of French media recently. It shows the streets of Paris, color-coded by their compass direction. It's been featured in an article in Telerama magazine, and even on French TV Channel LCI (skip ahead to 8:20 in the linked video. which also features an interview with Mathieu). Mathieu used...

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Reproducibility with Revolution R Open and the checkpoint package

January 30, 2015
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Thanks to everyone at the Chicago R User Group for giving me such a warm welcome for my presentation last night. In my talk, I gave an introduction to Revolution R Open, with a focus on how the checkpoint package makes sharing R code in a reproducible way easy: If you'd like to try out the checkpoint package, it's...

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Now’s a great time to learn R. Here’s how.

January 28, 2015
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In a recent article at opensource.com, I offer up some reasons why now is the time to learn R: data scientists are in high demand, R is the natural language for data scientists, and companies around the world are using R (and hiring R programmers) to make sense of new data sources. Sharp Sight Labs also offers some excellent...

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Microsoft acquires Revolution Analytics – news roundup

January 26, 2015
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There was a lot of news coverage on Friday and over the weekend about the news that Microsoft will acquire Revolution Analytics. Here are some links to just a few of the articles published. Wired: Microsoft is "heavily embracing the R programming language"; "the move deepens Microsof's investments in open source". TechCrunch: Microsoft's acquisition is to "bolster its analytics...

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xkcd on P-values

January 26, 2015
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xkcd on P-values

From the "statistician humour" department, today's xkcd cartoon will ring a bell for anyone who's ever published (or read!) a scientific article including a P-value for a statistical test: If finding P-value excuses is a common activity for you (and let's hope not!) then R has you covered with the Significantly Improved Significance Test. This R code from Rasmus...

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Revolution Analytics joins Microsoft

January 23, 2015
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Revolution Analytics joins Microsoft

by David Smith, Chief Community Officer On behalf of the entire Revolution Analytics team I am excited to announce that Revolution Analytics is joining forces with Microsoft to bring R to even more enterprises. Microsoft announced today that it will acquire Revolution Analytics. Now, Microsoft might seem like a strange bedfellow for an open-source company, but the company continues...

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A beautiful story about NYC weather

January 21, 2015
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A beautiful story about NYC weather

Inspired by Tufte's classic visualization of New York City weather in 2013, Alex Bresler used the R language to update the chart for 2014: (Click the image to view the zoomable SVG version.) The R code to create the plot is available on GitHub, and is easily adapted to display data for any of the other cities provided in...

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Introduction to Applied Econometrics with R

January 19, 2015
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Bruno Rodrigues teaches a class on applied econometrics at the University of Strasbourg, with a focus on implementing econometric concepts in the R language. Since many of the students don't have any previous programming background, he's put together a tutorial on the basics of applied econometrics with R. The first two chapters serve as a general-purpose beginners' introduction to...

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Learn Statistics and R online from Harvard

January 16, 2015
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Harvard University is offering a free 5-week on-line course on Statistics and R for the Life Sciences on the edX platform. The course promises you will learn the basics of statistical inference and the basics of using R scripts to conduct reproducible research. You'll just need a backround in basic math and programming to follow along and complete homework...

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