Monthly Archives: June 2014

Scraping Fantasy Football Projections from the Web

June 27, 2014
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Scraping Fantasy Football Projections from the Web

In this post, I show how to download fantasy football projections from the web using R.  In prior posts, I showed how to scrape projections from ESPN, CBS, NFL.com, and The post Scraping Fantasy Football Projections from the Web appeared first on Fantasy Football Analytics.

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FRAMA Part II: Replicating A Simple Strategy

June 27, 2014
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FRAMA Part II: Replicating A Simple Strategy

This post will begin the investigation into FRAMA strategies, with the aim of ultimately finding a FRAMA trading strategy with … Continue reading →

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Multivariate Data Analysis and Visualization Through Network Mapping

June 27, 2014
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Multivariate Data Analysis and  Visualization Through Network Mapping

Recently I had the pleasure of speaking about one of my favorite topics, Network Mapping. This is a continuation of a general theme I’ve previously discussed and involves the merger of statistical and multivariate data analysis results with a network. Over the past year I’ve been working on two major tools, DeviumWeb and MetaMapR, which

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Squeezing more speed from R for nothing, Rcpp style

Squeezing more speed from R for nothing, Rcpp style

In a previous post we explored how you can greatly speed up certain types of long-running computations in R by parallelizing your code using multicore package*. I also mentioned that there were a few other ways to speed up R code; the one I will be exploring in this post is using Rcpp to replace »more

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Comment of the week

June 27, 2014
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This one, from DominikM: Really great, the simple random intercept – random slope mixed model I did yesterday now runs at least an order of magnitude faster after installing RStan 2.3 this morning. You are doing an awesome job, thanks a lot! The post Comment of the week appeared first on Statistical Modeling, Causal Inference, and...

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How data-driven companies use R to compete

June 27, 2014
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The editors at DataInformed invited me to write an article about how R is used in business, and I was pleased to oblige. The article, How Companies use R to Compete in a Data-Driven World, is now live and describes how Facebook, The New York Times, X+1, ANZ Bank and many others successfully use R to analyze their data....

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The future of R on the web at #user2014

June 27, 2014
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The future of R on the web at #user2014

The schedule and abstracts for useR! 2014 have been posted on the conference website. Session 2 (tuesday 1pm) of the Kaleidoscope track will feature a fantastic set of talks about R and the web, including RCloud (Gordon Woodhull, AT&T), Ope...

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Bayesian First Aid: Test of Proportions

June 26, 2014
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Bayesian First Aid: Test of Proportions

Does pill A or pill B save the most lives? Which web design results in the most clicks? Which in vitro fertilization technique results in the largest number of happy babies? A lot of questions out there involves estimating the proportion or relative frequency of success of two or more groups (where success could be a saved life, a...

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Statistics, and the Goldilocks Principle

June 26, 2014
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By the end of May, in Toronto, we had that great talk at the SSC by Jeff Rosenthal, on monte carlo techniques, and Jeff mention the name of “the Goldilocks principle” (it was in the contect of MCMC, and I did mention it in my talk in London on MCMC, when I discussed the value of the rejection rate...

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(Py, R, Cmd) Stan 2.3 Released

June 26, 2014
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We’re happy to announce RStan, PyStan and CmdStan 2.3. Instructions on how to install at: http://mc-stan.org/ As always, let us know if you’re having problems or have comments or suggestions. We’re hoping to roll out the next release a bit quicker this time, because we have lots of good new features that are almost ready The post

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