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The Clipboard can be Your Friend

January 17, 2011 | --

One of the features I feel that I don’t leverage enough, particularly for ad-hoc questions, is the clipboard feature  in R. I know there are many ways to use it –  as I have been exposed to a few –  but the example below, even without context, should get you thinking ... [Read more...]

R and Google Visualization API: Fish harvests

January 17, 2011 | Scott Chamberlain

I recently gathered fish harvest data from the U.S. National Oceanic and Atmospheric Administarion (NOAA), which I downloaded from Infochimps. The data is fish harvest by weight and value, by species for 21 years, from 1985 to 2005. Here is a link to a google document of the data I used below: ...
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Séminaire à Lyon

January 17, 2011 | xi'an

Next week, I am going to Lyon to give a seminar in Université Lyon I. I will talk about the recent Rao-Blackwellisation papers we wrote, hopefully managing to make sense with both statisticians and probabilists, unlike in recent talks of mine in probability seminars… The slides are close to those ...
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In case you missed it: December Roundup

January 17, 2011 | David Smith

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. ... [Read more...]

Keeping simple things simple

January 17, 2011 | Thinking inside the box

My friend Jeff deserves a sincere congratulation for finally unveiling his rebranded R consultancy Lemnica. One notable feature of the new website is a section called esoteric R which discusses less frequently-visited corners of the R world. It even b... [Read more...]

Introducing Monte Carlo Methods with R [precision]

January 17, 2011 | xi'an

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 ...
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Normal market accidents

January 17, 2011 | Pat

We think of accidents as abnormal events, but there is “normal accident” theory.  We don’t think of accidents happening in markets, but they do.  That’s why it’s called a market crash. For normal accidents to come into play, two conditions need to hold: the system is complex ...
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Méthodes de Monte-Carlo avec R [out]

January 17, 2011 | xi'an

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 ...
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Dial-a-statistic! Featuring R and Estonia

January 16, 2011 | Ethan Brown

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) ... [Read more...]

When 1 * x != x

January 16, 2011 | richierocks

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 ... [Read more...]

Parsing and plotting time series data

January 15, 2011 | csgillespie

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 ...
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Bipartite networks and R

January 14, 2011 | Scott Chamberlain

Earlier, I posted about generating networks from abundance distributions that you specify. If this post was interesting, check out Jeff Kilpatrick's website, where he provides code he produced in R and Octave to compare real bipartite networks to ones ...
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Statistical podcast: Random and Pseudorandom

January 14, 2011 | csgillespie

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 ...
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