2125 search results for "Twitter"

The Clipboard can be Your Friend

January 17, 2011
By
The Clipboard can be Your Friend

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 about how awesome R

Read more »

The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave

January 17, 2011
By
The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave

Just wrapped up the slides for the first version of the The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave which I presented today in our lab. I am making the slides available under a Creative Commons … Continue reading →

Read more »

Séminaire à Lyon

January 17, 2011
By
Séminaire à Lyon

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 I presented in Wharton last

Read more »

In case you missed it: December Roundup

January 17, 2011
By

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...

Read more »

Introducing Monte Carlo Methods with R [precision]

January 17, 2011
By
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

Read more »

Méthodes de Monte-Carlo avec R [out]

January 17, 2011
By
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,

Read more »

Dial-a-statistic! Featuring R and Estonia

January 16, 2011
By
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

Read more »

When 1 * x != x

January 16, 2011
By
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,

Read more »

Missing reference in Monte Carlo Statistical Methods

January 15, 2011
By
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

Read more »

Parsing and plotting time series data

January 15, 2011
By
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

Read more »