June 2014

R Blog Readers Survey

June 28, 2014 | Cory Lesmeister

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 | Rob

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...]

Comment of the week

June 27, 2014 | andrew

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 ... [Read more...]

How data-driven companies use R to compete

June 27, 2014 | David Smith

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 ... [Read more...]

The future of R on the web at #user2014

June 27, 2014 | Jeroen Ooms

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 | Rasmus Bååth

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 ... [Read more...]

(Py, R, Cmd) Stan 2.3 Released

June 26, 2014 | Bob Carpenter

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 ... [Read more...]

Review of Applied Predictive Modeling by Kuhn and Johnson

June 26, 2014 | Joseph Rickert

by Joseph Rickert Predictive Modeling or “Predictive Analytics”, the term that appears to be gaining traction in the business world, is driving the new “Big Data” information economy. Predictably, there is no shortage of material to be found on this subject. Some discussion of predictive modeling is sure to be ... [Read more...]

Maybe I Don’t Really Know R After All

June 26, 2014 | Randy Zwitch

Lately, I’ve been feeling that I’m spreading myself too thin in terms of programming languages. At work, I spend most of my time in Hive/SQL, with the occasional Python for my smaller data. I really prefer Julia, but I’m alone at work on that one. And ... [Read more...]

Tailoring univariate probability distributions

June 26, 2014 | Petr Keil

This post shows how to build a custom univariate distribution in R from scratch, so that you end up with the essential functions: a probability density function, cumulative distribution function, quantile function and random number generator. In the beginning all you need is an equation of the probability density function, … ... [Read more...]

Be Careful with Using Model Design in R

June 25, 2014 | strictlystat

In R, useful functions for making design matrices are model.frame and model.matrix. I will to discuss some of the differences of behavior across and within the two functions. I also have an example where I have run into this problme and it caused me to lose time. Using ... [Read more...]
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