Monthly Archives: August 2012

Momentum with R: Part 1

August 23, 2012
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Momentum with R: Part 1

Time really flies… it is hard to believe that it has been over a month since my last post. Work and life in general have consumed much of my time lately and left little time for research and blog posts. Anyway, on to the post! This post will be the first in a series of … Continue reading...

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Revolution Analytics receives Top Innovator award for Data Science Technology

August 23, 2012
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Revolution Analytics receives Top Innovator award for Data Science Technology

A big thank-you to all the R users out there who voted for Revolution R Enterprise in DataWeek Awards. We're so pleased to be recognized by the voters and the DataWeek judging panel with the Top Innovator Award for Data Science Technology. We're looking forward to the awards ceremony next week at DataWeek SF (in San Francisco, September 24-27)....

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Bonds Much Sharpe -r Than Buffett

August 23, 2012
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Bonds Much Sharpe -r Than Buffett

Mebane Faber’s post Buffett’s Alpha points out Warren Buffett’s 0.76 Sharpe Ratio discussed in the similarly title paper Buffet’s Alpha.  I of course immediately think about the 8th Wonder of the World – the US Bond Market, whose Sharpe ...

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R and the web (for beginners), Part III: Scraping MPs’ expenses in detail from the web

August 23, 2012
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R and the web (for beginners), Part III: Scraping MPs’ expenses in detail from the web

In this last post of my little series (see my latest post) on R and the web I explain how to extract data of a website (web scraping/screen scraping) with R. If the data you want to analyze are a part of a web page, for example a HTML-table (or hundreds of...

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Ebola in the Congo

August 23, 2012
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Ebola in the Congo

Ebola has also appeared in the Democratic Republic of the Congo. The WHO report from 21 August reports 15 cases and 10 deaths, mostly in the town of Isiro. This outbreak is in no way related to the Ugandan outbreak … Continue reading

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How robust is logistic regression?

August 23, 2012
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How robust is logistic regression?

Logistic Regression is a popular and effective technique for modeling categorical outcomes as a function of both continuous and categorical variables. The question is: how robust is it? Or: how robust are the common implementations? (note: we are using robust in a more standard English sense of performs well for all inputs, not in the

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London 2012 Olympics — Men and Women 400-metre medley

August 23, 2012
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London 2012 Olympics — Men and Women 400-metre medley

Alan brought up the suspicion to Ye’s world record in women 400 metres individual medley. And I quote: “Her last split caused controversy (deep suspicion of doping) as she swam it faster than the fastest male swimmer. I wonder how commonly this … Continue reading

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Open Research Data Processes: KMi Crunch – Hosted RStudio Analytics Environment

August 23, 2012
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Open Research Data Processes: KMi Crunch – Hosted RStudio Analytics Environment

One of the possible barriers to widespread adoption of open notebook science is knowing where to start. Video reports of lab experiments hosted on Youtube can be easily embedded in a hosted WordPress blog; a MediaWiki wiki can be used to provide one page per experiment, with change tracking/history on each page and a shadow

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Using R for parallelizing OpenBUGS on a single Windows PC

August 22, 2012
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It seems that most of the R-parallelizing business takes place on Linux clusters. And it makes sense. Why would you want to paralellize R on just a few processors (2 or 4) of a Windows laptop PC when the whole … Continue reading

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Benchmarking random-number generation from C++

August 22, 2012
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If you're writing C++ code and want to generate random numbers, you might not be aware that R provides an API to call the R RNG functionality directly. The Rcpp package's "syntactic sugar" feature makes this process easier, by automating the process of translating a subset of ordinary R code into compiled C++ code. That means you can write...

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