R

Blogs on the R software.

How cold is it? A Bayesian attempt to measure temperature

November 25, 2014
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How cold is it? A Bayesian attempt to measure temperature

It is getting colder in London, yet it is still quite mild considering that it is late November. Well, indoors it still feels like 20°C (68°F) to me, but I have been told last week that I should switch on the heating. Luckily I found an old thermometer to check. The thermometer showed 18°C. Is it really below 20°C? The thermometer is quite old and I'm not sure that is…

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R and Data Mining Workshop at AusDM 2014, Brisbane, 27 November

November 24, 2014
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R and Data Mining Workshop at AusDM 2014, Brisbane, 27 November

R and Data Mining Workshop at AusDM 2014 http://ausdm14.ausdm.org/workshop There will be a half-day workshop on R and Data Mining at the AusDM 2014 conference in Brisbane, Thursday afternoon, 27 November. The workshop will be composed of several sessions on … Continue reading →

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GTrendsR package to Explore Google trending for Field Dependent Terms

November 24, 2014
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GTrendsR package to Explore Google trending for Field Dependent Terms

My friend, Steve Simpson, introduced me to Philippe Massicotte and Dirk Eddelbuettel’s GTrendsR GitHub package this week. It’s a pretty nifty wrapper to the Google Trends API that enables one to search phrase trends over time. The trend indices that … Continue reading →

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an ABC experiment

November 23, 2014
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an ABC experiment

  In a cross-validated forum exchange, I used the code below to illustrate the working of an ABC algorithm: Hence I used the median and the mad as my summary statistics. And the outcome is rather surprising, for two reasons: the first one is that the posterior on the mean μ is much wider than […]

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Slides of keynote speeches, tutorials and panelist presentations at IEEE Big Data 2014

November 23, 2014
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Slides of keynote speeches, tutorials and panelist presentations at IEEE Big Data 2014

Slides of keynote speeches, tutorials and panelist presentations at the 2014 IEEE International Conference on Big Data can be found at the conference website at links below. (1) Keynote speech http://cci.drexel.edu/bigdata/bigdata2014/keynotespeech.htm - Never-Ending Language Learning, Tom Mitchell – E. Fredkin … Continue reading →

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When should I change to snow tires in Netherlands

November 23, 2014
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When should I change to snow tires in Netherlands

The Royal Netherlands Meteorological Institute has weather information by day for a number of Dutch stations. In this post I want to use those data for a practical problem: when should I switch to winter tires? (or is that snow tires? In any case nails...

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Statistical computing languages at the RSS

November 22, 2014
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Statistical computing languages at the RSS

On Friday the Royal Statistical Society hosted a meeting on Statistical computing languages, organised by my colleague Colin Gillespie. Four languages were presented at the meeting: Python, Scala, Matlab and Julia. I presented the talk on Scala. The slides I presented are available, in addition to the code examples and instructions on how to run […]

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Statistics for Big Data

November 22, 2014
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Statistics for Big Data

Doctoral programme in cloud computing for big data I’ve spent much of this year working to establish our new EPSRC Centre for Doctoral Training in Cloud Computing for Big Data, which partly explains the lack of posts on this blog in recent months. The CDT is now established, with 11 students in the first cohort, […]

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Free Stanford online course on Statistical Learning (with R) starting on 19 Jan 2015

November 21, 2014
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Free Stanford online course on Statistical Learning (with R) starting on 19 Jan 2015

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and … Continue reading →

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A short taxonomy of Bayes factors

November 21, 2014
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[Update Oct 2014: Due to some changes to the Bayes factor calculator webpage, and as I understand BFs much better now, this post has been updated …] I started to familiarize myself with Bayesian statistics. In this post I’ll show some insig...

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