Monthly Archives: October 2012

Makefiles for R/LaTeX projects

October 30, 2012
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Updated: 21 November 2012 Make is a marvellous tool used by programmers to build software, but it can be used for much more than that. I use make whenever I have a large project involving R files and LaTeX files, which means I use it for almost all of the papers I write, and almost of the consulting reports...

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R among TechCrunch’s 5 Trendy Open-Source Techs for Big Data

October 30, 2012
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Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are: Storm and Kafka (for processing stream data) Drill and Dremel (for ad-hoc queries of big data) R (for data science with big data) Gremlin and Giraph (for graph...

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visit to ISU

October 30, 2012
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visit to ISU

  A short visit to ISU but and therefore a busy and proftable day! About ten appointments in Snedecor Hall after a nice morning run, a highly attended Zyskind Lecture, and many interesting discussions all over the day: e.g., I had a great time discussing using null recurrent Markov chains for integral approximations with Krishna

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DINEOF (Data Interpolating Empirical Orthogonal Functions)

October 30, 2012
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DINEOF (Data Interpolating Empirical Orthogonal Functions)

I finally got around to reproducing the DINEOF method (Beckers and Rixon, 2003) for optimizing EOF analysis on gappy data fields - it is especially useful for remote sensing data where cloud cover can result in large gaps in data. Their paper gives a nice overview of some of the various methods...

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Make your data famous!

October 30, 2012
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Make your data famous!

I’m writing a book on R for O’Reilly, and I need interesting datasets for the examples. Any data that you provide will get you a mention in the book and in the publicity material, so it’s a great opportunity to publicise your work or your organisation. Datasets from any area or industry are suitable; the

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Speed up R by using a different BLAS implementation

October 30, 2012
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Speed up R by using a different BLAS implementation

It is no news that R’s default BLAS is much slower that other available BLAS implementations. In A trick to speed up R matrix calculation/ Yu-Sung Su recommends using the ATLAS BLAS which is available on CRAN. When I learned about the possible speed-up  a while ago I tried several BLAS libraries and I found that GotoBLAS2 was

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Happy SAP HANA Friends

October 30, 2012
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This is a presentation that I did on the Community Theatre at SAP TechEd Las Vegas 2012. Happy sap hana friends from Alvaro Tejada In this presentation, Blagbert helps his friends Nerdbert to set up his first SAP HANA project using different technol...

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On weather forecasts, Nate Silver, and the politicization of statistical illiteracy

October 30, 2012
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On weather forecasts, Nate Silver, and the politicization of statistical illiteracy

As you know, we have a thing for statistical literacy here at Simply Stats. So of course this column over at Politico got our attention (via Chris V. and others). The column is an attack on Nate Silver, who has … Continue reading →

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On weather forecasts, Nate Silver, and the politicization of statistical illiteracy

October 30, 2012
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On weather forecasts, Nate Silver, and the politicization of statistical illiteracy

As you know, we have a thing for statistical literacy here at Simply Stats. So of course this column over at Politico got our attention (via Chris V. and others). The column is an attack on Nate Silver, who has a blog where he tries to predict the outc...

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analyze the national health and nutrition examination survey (nhanes) with r

October 30, 2012
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nhanes is this fascinating survey where doctors and dentists accompany survey interviewers in a little mobile medical center that drives around the country.  while the survey folks are interviewing people, the medical professionals administer labo...

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