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In case you missed it: December Roundup

January 17, 2011
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In case you missed them, here are some articles from December of particular interest to R users. A Facebook employee created a beautiful visualization of social connections around the world, which made a lot of news on the Web. The creator, Paul Butler, explained how he did it using R. With sponsorship from Revolution Analytics, the R/Finance conference in...

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Introducing Monte Carlo Methods with R [precision]

January 17, 2011
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Introducing Monte Carlo Methods with R [precision]

Doug Rivers, professor of Political Sciences in Stanford, kindly sent me this email yesterday night: The 2nd displayed equation in section 2.1.2 on p. 44 is garbled (it might be interpreted as saying that U and X have the same distribution). I think you intended: And indeed we should have stated the implicit convention that

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Méthodes de Monte-Carlo avec R [out]

January 17, 2011
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Méthodes de Monte-Carlo avec R [out]

The translation of the book Introducing Monte Carlo Methods with R is now published and out! I have received five copies in the mail yesterday, although it was not produced in time for my R class students to get it before the exam today. The book is still indicated on amazon.com as appearing in February,

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Dial-a-statistic! Featuring R and Estonia

January 16, 2011
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Dial-a-statistic! Featuring R and Estonia

Did you wake up this morning hoping that you would be able to listen to telephone beeps inspired by Estonian web site metrics? I knew you did! First things first: I came up with the slightly crazy idea of using the bleepy sounds that telephones make, called “dual-tone multifrequency” (DTMF) tones, as a tool in

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Climate Charts, Data and RClimate Scripts

January 16, 2011
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Climate Charts, Data and RClimate Scripts

While there are many online climate data resources, the source data files are in numerous data formats, presenting a challenge to climate citizen scientists who want to retrieve and analyze several climate indicators at the same time. I have been … Continue reading →

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When 1 * x != x

January 16, 2011
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When 1 * x != x

Trying to dimly recall things from my maths degree, it seems that in most contexts the whole point of the number one is that it is a multiplicative identity. That is, for any x in your set, 1 * x is equal to x. It turns out that when you move to floating point numbers,

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Missing reference in Monte Carlo Statistical Methods

January 15, 2011
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Missing reference in Monte Carlo Statistical Methods

A few days ago, Peng Yu sent me this email Dear Prof. Robert, The citation Edwards and Sokal (1988) appears on page 326 of your book MCSM2. However, I don’t find in in the Reference section (it would have appear on page 601 if it is in the reference section). I don’t find this error

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Parsing and plotting time series data

January 15, 2011
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Parsing and plotting time series data

This morning I came across a post which discusses the differences between scala, ruby and python when trying to analyse time series data. Essentially, there is a text file consisting of times in the format HH:MM and we want to get an idea of its distribution. Tom discusses how this would be a bit clunky

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Warming in Paris: minimas versus maximas ?

January 14, 2011
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Warming in Paris: minimas versus maximas ?

Recently, I received comments (here and on Twitter) about my previous graphs on the temperature in Paris. I mentioned in a comment (there) that studying extremas (and more generally quantiles or interquantile evolution) is not the same as studying ...

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Statistical podcast: Random and Pseudorandom

January 14, 2011
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Statistical podcast: Random and Pseudorandom

This morning when I downloaded the latest version of In our time, I was pleased to see that this weeks topic was “Random and Peudorandom.” If you’re not familiar with “In our time”, then I can I definitely recommend the series. Each week three academics and Melvyn Bragg discuss a particular topic from history, science,

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