Monthly Archives: June 2014

Simple script from setting up R, Git, and Jags on Amazon EC2 Ubuntu Instance

June 28, 2014
By

Just wanted to put up the script I've been using to create an Amazon EC2 Ubuntu instance for running RStudio, Git, and Jags. There isn't anything really new in here, but it it has been serving me well. The script begins after the basic instance has bee...

Read more »

R Blog Readers Survey

June 28, 2014
By

I've almost achieved my goal of a minimum of 100 quality responses.  I will keep the survey open for a couple more days, so if you haven't responded, please feel free to have a crack at it.Regards,Coryhttps://www.surveymonkey.com/s/7DY8DYH

Read more »

Lively R

June 27, 2014
By

Next week, the UseR conference comes to UCLA.  And in anticipation, I thought a little foreshadowing would be nice.  Amelia McNamara, UCLA Stats grad student and rising stats ed star, shared with me a new tool that has the potential … Continue reading →

Read more »

Scraping Fantasy Football Projections from the Web

June 27, 2014
By
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.

Read more »

FRAMA Part II: Replicating A Simple Strategy

June 27, 2014
By
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 →

Read more »

Multivariate Data Analysis and Visualization Through Network Mapping

June 27, 2014
By
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

Read more »

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

Read more »

Comment of the week

June 27, 2014
By

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...

Read more »

How data-driven companies use R to compete

June 27, 2014
By

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....

Read more »

The future of R on the web at #user2014

June 27, 2014
By
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...

Read more »