Efficient accumulation in R

July 27, 2015
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Efficient accumulation in R

R has a number of very good packages for manipulating and aggregating data (plyr, sqldf, ScaleR, data.table, and more), but when it comes to accumulating results the beginning R user is often at sea. The R execution model is a bit exotic so many R users are very uncertain which methods of accumulating results are … Continue reading Efficient accumulation in R →

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Ripped from the pages of a George Pelecanos novel

July 27, 2015
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Ripped from the pages of a George Pelecanos novel

Did anyone else notice that this DC multiple-murder case seems just like a Pelecanos story? Check out the latest headline, “D.C. Mansion Murder Suspect Is Innocent Because He Hates Pizza, Lawyer Says”: Robin Flicker, a lawyer who has represented suspect Wint in the past but has not been officially hired as his defense attorney, says […] The post Ripped from the pages of a George Pelecanos novel appeared first on…

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Statbusters are back, taking on robots that hire people

July 27, 2015
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In our newest column, we take on the recent media obsession with companies who make robots that hire people. (link) As with most articles about data science, the journalists failed to dig up any evidence that these robots work, other than glowing quotes from the people who are selling these robots. We point out a number of challenges that such algorithms must overcome in order to generate proper predictions. We…

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Rebonato on Bond-Yield Econometrics

July 27, 2015
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Riccardo Rebonato (R) has a fascinating new paper, which builds on important earlier work of Cieslak and Povala (2010) (CP). The cool thing about CP is the way it advances and blends certain aspects of both the spanning literature ("all infor...

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On deck this week

July 27, 2015
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Mon: Ripped from the pages of a George Pelecanos novel Tues: “We can keep debating this after 11 years, but I’m sure we all have much more pressing things to do (grants? papers? family time? attacking 11-year-old papers by former classmates? guitar practice?)” Wed: What do I say when I don’t have much to say? […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Launch party

July 27, 2015
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Launch party

I think I've already mentioned this work here and here: after much tribulation, mostly due to the fact that we had to co-ordinate a relatively large number of papers in a single journal issue, we are very close to the publication of our work on the Ste...

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Convert a vector to a string

July 27, 2015
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Convert a vector to a string

Base SAS contains many functions for processing strings, and you can call these functions from within a SAS/IML program. However, sometimes a SAS/IML programmer needs to process a vector of strings. No problem! You can call most Base SAS functions with a vector of parameters. I have previously written about […] The post Convert a vector to a string appeared first on The DO Loop.

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DigiPub

July 27, 2015
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DigiPub

Mid-December 2014 Statistics Switzerland launched its first digital publication for tablets (iOs. Android) and (and!) browser, in French and German. …Continue reading →

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Engaging students in learning statistics using The Islands.

July 27, 2015
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Engaging students in learning statistics using The Islands.

Three Problems and a Solution Modern teaching methods for statistics have gone beyond the mathematical calculation of trivial problems. Computers can enable large size studies, bringing reality to the subject, but this is not without its own problems. Problem 1: … Continue reading →

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Wealth and winning in NC high school athletics

July 26, 2015
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Wealth and winning in NC high school athletics

The Raleigh News & Observer published a front-page article about the effect of wealth and poverty on high school athletics in North Carolina. In particular, the article concluded that "high schools with a high percentage of poor students rarely win titles in the so-called country club sports—tennis, golf and swimming—and […] The post Wealth and winning in NC high school athletics appeared first on The DO Loop.

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Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman: The Movie

July 26, 2015
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This is a screencast of my UseR! 2015 presentation: Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman. Based on the original blog post it is a quick’n’dirty introduction to approximate Bayesian computation (and is also, in ...

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The 3 Stages of Busy

July 26, 2015
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Last week I ran into a younger colleague who said he had a conference deadline that week and could we get together next week, maybe? So I contacted him on the weekend and asked if he was free. He responded: This week quickly got booked after last week’s NIPS deadline. So we’re meeting in another […] The post The 3 Stages of Busy appeared first on Statistical Modeling, Causal Inference,…

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Predicting Titanic deaths on Kaggle II: gbm

July 26, 2015
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Predicting Titanic deaths on Kaggle II: gbm

Following my previous post I have decided to try and use a different method: generalized boosted regression models (gbm). I have read the background in Elements of Statistical Learning and arthur charpentier's nice post on it. This data ...

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Laplace is visited by Doing Bayesian Data Analysis

July 25, 2015
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Laplace is visited by Doing Bayesian Data Analysis

After a post from almost two years ago inviting folks to pose the book with famous Bayesians or non-Bayesians (deceased or not), the book has finally visited a monument to Laplace! Shown below (scroll down) are photos kindly taken by Carlos Ungil. Than...

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Ira Glass asks. We answer.

July 25, 2015
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Ira Glass asks.  We answer.

The celebrated radio quiz show star says: There’s this study done by the Pew Research Center and Smithsonian Magazine . . . they called up one thousand and one Americans. I do not understand why it is a thousand and one rather than just a thousand. Maybe a thousand and one just seemed sexier or […] The post Ira Glass asks. We answer. appeared first on Statistical Modeling, Causal Inference,…

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Stephen Senn: Randomization, ratios and rationality: rescuing the randomized clinical trial from its critics

July 24, 2015
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Stephen Senn: Randomization, ratios and rationality: rescuing the randomized clinical trial from its critics

Stephen Senn Head of Competence Center for Methodology and Statistics (CCMS) Luxembourg Institute of Health This post first appeared here. An issue sometimes raised about randomized clinical trials is the problem of indefinitely many confounders. This, for example is what John Worrall has to say: Even if there is only a small probability that an individual factor is […]

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stringsAsFactors: An unauthorized biography

July 24, 2015
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Recently, I was listening in on the conversation of some colleagues who were discussing a bug in their R code. The bug was ultimately traced back to the well-known phenomenon that functions like 'read.table()' and 'read.csv()' in R convert columns that are detected to be character/strings to be factor variables. This lead to the spontaneous

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Why I use Panel/Multilevel Methods

July 24, 2015
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Why I use Panel/Multilevel Methods

I don’t understand why any researcher would choose not to use panel/multilevel methods on panel/hierarchical data. Let’s take the following linear regression as an example: , where is a random effect for the i-th group. A pooled OLS regression model for the above is unbiased and consistent. However, it will be inefficient, unless for all […]

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The relationship between toothlessness and income

July 24, 2015
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The relationship between toothlessness and income

My colleague Robert Allison finds the most interesting data sets to visualize! Yesterday he posted a visualization of toothless seniors in the US. More precisely, he created graphs that show the estimated prevalence of adults (65 years or older) who have had all their natural teeth extracted. The dental profession […] The post The relationship between toothlessness and income appeared first on The DO Loop.

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45 years ago in the sister blog

July 24, 2015
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45 years ago in the sister blog

The post 45 years ago in the sister blog appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Deja vu! Doping accusations at Tour de France

July 24, 2015
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Deja vu! Doping accusations at Tour de France

Gabe Murray wrote to Andrew Gelman, asking for comments about the accusations hurled at the current Tour de France front-runner Chris Froome. He said: This post by VeloClinic has been getting a lot of media attention in the past few days, within the context of Chris Froome's dominant performance in the Tour de France: http://veloclinic.com/estimating-the-probability-of-doping-as-a-function-of-power/ The assumptions seem very dubious to me, and I would love to see a critique…

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PLS think twice about partial least squares

July 23, 2015
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PLS think twice about partial least squares

One of the great things about writing a statistics book was finding an excuse to read about dozens of topics that I knew a little about but hadn't got around to studying in depth. Even so, there were a number of topics I ended up missing out on complet...

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I try hard to not hate all hover-overs. Here is one I love

July 23, 2015
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I try hard to not hate all hover-overs. Here is one I love

One of the smart things Noah (at WNYC) showed to my class was his NFL fan map, based on Facebook data. This is the "home" of the visualization: The fun starts by clicking around. Here are the Green Bay fans...

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