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. The name for this publishing category is ‘DigiPub‘. . In App Store and Google Play DigiPubs are provided via the SwissStats App available on Apple Store and Google Play (Windows to come later ). .. … Continue reading DigiPub

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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. The name for this publishing category is ‘DigiPub‘. . In App Store and Google Play DigiPubs are provided via the SwissStats App available on Apple Store and Google Play (Windows to come later ). .. … Continue reading DigiPub

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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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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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More gremlins: “Instead, he simply pretended the other two estimates did not exist. That is inexcusable.”

July 23, 2015
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More gremlins:  “Instead, he simply pretended the other two estimates did not exist.  That is inexcusable.”

Brandon Shollenberger writes: I’ve spent some time examining the work done by Richard Tol which was used in the latest IPCC report.  I was troubled enough by his work I even submitted a formal complaint with the IPCC nearly two months ago (I’ve not heard back from them thus far).  It expressed some of the same concerns […] The post More gremlins: “Instead, he simply pretended the other two estimates did not…

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Call for participation: AusDM 2015, Sydney, 8-9 August

July 23, 2015
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Call for participation: AusDM 2015, Sydney, 8-9 August

************************************************************* The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8–9 August 2015 URL: http://ausdm15.ausdm.org/ ************************************************************* The Australasian Data Mining Conference is devoted to the art and science of intelligent data mining: the meaningful analysis of (usually large) data … Continue reading →

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3 YEARS AGO (JULY 2012): MEMORY LANE

July 23, 2015
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3 YEARS AGO (JULY 2012): MEMORY LANE

3 years ago… MONTHLY MEMORY LANE: 3 years ago: July 2012. I mark in red three posts that seem most apt for general background on key issues in this blog.[1]  This new feature, appearing the last week of each month, began at the blog’s 3-year anniversary in Sept, 2014. (Once again it was tough to pick just 3; please check out others which might […]

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Stan 2.7 (CRAN, variational inference, and much much more)

July 22, 2015
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Stan 2.7 (CRAN, variational inference, and much much more)

Stan 2.7 is now available for all interfaces. As usual, everything you need can be found starting from the Stan home page: http://mc-stan.org/ Highlights RStan is on CRAN!(1) Variational Inference in CmdStan!!(2) Two new Stan developers!!!  A whole new logo!!!!  Math library with autodiff now available in its own repo!!!!!  (1) Just doing install.packages(“rstan”) isn’t […] The post Stan 2.7 (CRAN, variational inference, and much much more) appeared first on…

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