Calling Scala code from R using jvmr

January 2, 2015
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Calling Scala code from R using jvmr

[Update: the jvmr package has been replaced by a new package called rscala. I have a new post which explains it.] Introduction In previous posts I have explained why I think that Scala is a good language to use for statistical computing and data science. Despite this, R is very convenient for simple exploratory data … Continue reading Calling Scala code from R using jvmr

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An experience of EARL

January 2, 2015
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An experience of EARL

Coordinates: 2014 September 15-17 in the London borough of #rstats. 15th, evening I had just the right number of R bugs so that I could walk to the drinks and arrive fashionably late.  On the way, I realized that I hadn’t been near the Tower of London since the first year I moved to London even […] The post An experience of EARL appeared first on Burns Statistics.

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Stethoscope as weapon of mass distraction

January 2, 2015
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Stethoscope as weapon of mass distraction

Macartan Humphreys sent me a Shiny app demonstrating you can get statistical significance from just about any pattern of random numbers. I posted it, and, in response, commenter Rahul wrote: It sure is a cute demo but it’s a bit like insinuating a doctor’s stethoscope is useless by demonstrating ten ways in which it can […] The post Stethoscope as weapon of mass distraction appeared first on Statistical Modeling, Causal…

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Popular posts from The DO Loop in 2014

January 2, 2015
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Popular posts from The DO Loop in 2014

I published 118 blog posts in 2014. This article presents my most popular posts from 2014 and late 2013. 2014 will always be a special year for me because it was the year that the SAS University Edition was launched. The University Edition means that SAS/IML is available to all […]

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Blog Contents: Oct.- Dec. 2014

January 2, 2015
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Blog Contents: Oct.- Dec. 2014

BLOG CONTENTS: OCT – DEC 2014* OCTOBER 2014 10/01 Oy Faye! What are the odds of not conflating simple conditional probability and likelihood with Bayesian success stories? 10/05 Diederik Stapel hired to teach “social philosophy” because students got tired of success stories… or something (rejected post) 10/07 A (Jan 14, 2014) interview with Sir David Cox by “Statistics […]

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A great start to the year

January 1, 2015
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A great start to the year

I'd like to start 2015 on a happy note. I enjoyed reading the piece by Steven Rattner in the New York Times called "The Year in Charts". (link) I particularly like the crisp headers, and unfussy language, placing the charts...

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New Year Reading List

January 1, 2015
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New Year Reading List

Happy New Year - and happy reading!Arlot, S. and A. Celisse, 2010. A survey of cross-validation procedures for model selection. Statistics Surveys, 4, 40-79. (HT Rob)Marsilli, C., 2014. Variable selection in predictive MIDAS models.Working Paper No. 52...

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What to think about in 2015: How can the principles of statistical quality control be applied to statistics education

January 1, 2015
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Happy new year! A few years ago, Eric Loken and I wrote, Statisticians: When we teach, we don’t practice what we preach: As statisticians, we give firm guidance in our consulting and research on the virtues of random sampling, randomized treatment assignments, valid and reliable measurements, and clear specification of the statistical procedures that will […] The post What to think about in 2015: How can the principles of statistical…

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On deck this month

January 1, 2015
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No padding here, only the good stuff: What to think about in 2015: How can the principles of statistical quality control be applied to statistics education What to do in 2015: Your statistics diary “Why continue to teach and use hypothesis testing?” Relaxed plagiarism standards as a way to keep the tuition dollars flowing from […] The post On deck this month appeared first on Statistical Modeling, Causal Inference, and…

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A New Year puzzle from Macartan Humphreys

January 1, 2015
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A New Year puzzle from Macartan Humphreys

Macartan writes: There is a lot of worry about publication and analysis bias in social science research. It seems results are much more likely to be published if they are statistically significant than if not which can lead to very misleading inferences. There is some hope that this problem can be partly addressed through analytic […] The post A New Year puzzle from Macartan Humphreys appeared first on Statistical Modeling,…

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Midnight With Birnbaum (Happy New Year)

December 31, 2014
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Midnight With Birnbaum (Happy New Year)

 Just as in the past 3 years since I’ve been blogging, I revisit that spot in the road at 11p.m.*,just outside the Elbar Room, get into a strange-looking taxi, and head to “Midnight With Birnbaum”. I wonder if they’ll come for me this year, given that my Birnbaum article is out… This is what the place […]

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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

December 31, 2014
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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

I am graduating as a fifth year PhD student and I really agree with Professor David Karger from MIT about the qualities characterizing a great PhD student, especially about the point on “discipline and productivity”. Professor Karger also distinguished the difference between a successful PhD for industry and a successful PhD for academic. Here I just […]

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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

December 31, 2014
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Qualities Characterizing a Great PhD Student Given by David Karger from MIT

I am graduating as a fifth year PhD student and I really agree with Professor David Karger from MIT about the qualities characterizing a great PhD student, especially about the point on “discipline and productivity”. Professor Karger also distinguished the difference between a successful PhD for industry and a successful PhD for academic. Here I just […]

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Econometricians’ Debt to Alan Turing

December 31, 2014
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Econometricians’ Debt to Alan Turing

The other day, Carol and I went with friends to see the movie, The Imitation Game. I definitely recommend it.I was previously aware of many of Alan Turing's contributions, especially in relation to the Turing Machine, cryptography, computing, and artif...

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Ugh … so close to one million page views for 2014

December 31, 2014
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Ugh … so close to one million page views for 2014

In my last Sunday Links roundup I mentioned we were going to be really close to 1 million page views this year. Chris V. tried to rally the troops:   Lets get them over the hump // “@simplystats: Sunday data/statistics link roundup (12/21/14) http://t.co/X1WDF9zZc1 #simplystats1e6” — Chris Volinsky (@statpumpkin) December 22, 2014   but alas we

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Algorithmic cruelty

December 31, 2014
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Algorithmic cruelty

By now, most of us know about Facebook’s algorithmic retrospectives, and, of course, how some people thought it could be cruel. Indeed, posts about some sorts of issues, such as divorces or deaths, can get a lot of “likes” (where the “like” b...

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Your closest collaborator . . . and why you can’t talk with her

December 31, 2014
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Your closest collaborator . . . and why you can’t talk with her

We get a lot of good comments on this blog but this one’s especially memorable. From Erin Jonaitis: Your closest collaborator is you six months ago but you don’t reply to email. The post Your closest collaborator . . . and why you can’t...

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New Year’s fireworks

December 31, 2014
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New Year’s fireworks

I have to thank Xi'an for this: as he rightly guesses in his comments to my original post (earlier this year $-$ well, for a few more hours still, at least!), my spam filter has worked a treat and if it weren't for him, I would have missed th...

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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

December 30, 2014
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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

There has been a Machine Learning (ML) reading list of books in hacker news for a while, where Professor Michael I. Jordan recommend some books to start on ML for people who are going to devote many decades of their lives to the field, and who want to get to the research frontier fairly quickly. […]

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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

December 30, 2014
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Machine Learning Books Suggested by Michael I. Jordan from Berkeley

There has been a Machine Learning (ML) reading list of books in hacker news for a while, where Professor Michael I. Jordan recommend some books to start on ML for people who are going to devote many decades of their lives to the field, and who want to get to the research frontier fairly quickly. […]

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SAS is #1…In Plans to Discontinue Use

December 30, 2014
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SAS is #1…In Plans to Discontinue Use

I’ve been tracking The Popularity of Data Analysis Software for many years now, and a clear trend is the decline of the market share of the bigger analytics firms, notably SAS and SPSS. Many people have interpreted my comments as implying … Continue reading →

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Your Life – Our Life – Best Wishes for 2015

December 30, 2014
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Your Life – Our Life – Best Wishes for 2015

What would YOU do with these data sources? UNdata, Institute for Population and Social Security Research, Population Reference Bureau, GeoHive, …Continue reading →

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It’s not just the confidence and drive to act. It’s having engraved inner criteria to guide action.

December 30, 2014
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To slightly paraphrase the words of a New York Times columnist: I once read about a guy whose childhood was a steady calamity. He was afraid, unable to control his mind and self. But he became a writer and discovered he was magnificent at it. Through the act of writing, he could investigate his fears […] The post It’s not just the confidence and drive to act. It’s having engraved…

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