Blog Archives

Revolution Analytics’ User Group Map Contest has a Winner

August 21, 2014
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by Joseph Rickert We are pleased to announce that Jo-fai Chow is the winner of the Revolution Analytics contest. Jo-fai’s entry, which was implemented as a Shiny project, may be viewed by clicking on the figure below. Jo-fai’s work not only produced an aesthetically pleasing sequence of maps but also provides a superb example of a well-documented, small project...

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Integrating R with production systems using an HTTP API

August 19, 2014
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Integrating R with production systems using an HTTP API

by Nick Elprin, Co-Founder of Domino Data Lab We built a platform that lets analysts deploy R code to an HTTP server with one click, and we describe it in detail below. If you have ever wanted to invoke your R model with a simple HTTP call, without dealing with any infrastructure setup or asking for help from developers...

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Model building with the iris data set for Big Data

August 14, 2014
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Model building with the iris data set for Big Data

by Joseph Rickert I think we can be sure that when American botanist Edgar Anderson meticulously collected data on three species of iris in the early 1930s he had no idea that these data would produce a computational storm that would persist well into the 21st century. The calculations started, presumably by hand, when R. A. Fisher selected this...

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Quantitative Finance applications in R – 8

August 12, 2014
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Quantitative Finance applications in R – 8

The latest in a series by Daniel Hanson Introduction Correlations between holdings in a portfolio are of course a key component in financial risk management. Borrowing a tool common in fields such as bioinformatics and genetics, we will look at how to use heat maps in R for visualizing correlations among financial returns, and examine behavior in both a...

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Incidental R

August 7, 2014
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Incidental R

by Joseph Rickert Last week, I posted a list of sessions at the Joint Statistical Meetings related to R. As it turned out, that list was only the tip of the iceberg. In some areas of statistics, such as graphics, simulation and computational statistics the use of R is so prevalent that people working in the field often don't...

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GRAN and switchr can’t send you back in time, but they can send R (sort of)

August 5, 2014
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GRAN and switchr can’t send you back in time, but they can send R (sort of)

Using package repositories to recreate the past, distribute the present, and protect against the future by Gabriel Becker (@groundwalkergmb) Bioinformatics and Computational Biology Genentech Research and Early Developmen 1. Have you ever needed to reach into the distant past … to recreate a years old result? Take - as an arbitrary example - Anders and Huber's paper on Differential...

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A Data Scientist’s and R User’s Guide to the JSM

July 31, 2014
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by Joseph Rickert The Joint Statistical Meetings (JSM) get underway this weekend in Boston and Revolution Analytics is again proud to be a sponsor. More than 6,000 statisticians and data scientists from around the world are expected to attend and listen to thousands of presentations. It is true that many talks will be on specialized topics that only statisticians...

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Agent Based Models and RNetLogo

July 24, 2014
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Agent Based Models and RNetLogo

by Joseph Rickert If I had to pick just one application to be the “killer app” for the digital computer I would probably choose Agent Based Modeling (ABM). Imagine creating a world populated with hundreds, or even thousands of agents, interacting with each other and with the environment according to their own simple rules. What kinds of patterns and...

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How to Choose an R-Trainer?

July 22, 2014
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How to Choose an R-Trainer?

by James Peruvankal There are plenty of options if you want to learn R and are looking for training: your college’s statistics department, massive open online courses like Coursera, Udacity, edX, Datacamp etc. SiliconANGLE recently published an article about top R-training companies. Let’s talk about how to choose a good R-trainer. First and foremost is technical competency in R...

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R and Meta-Analysis

July 17, 2014
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R and Meta-Analysis

by Joseph Rickert Broadly speaking, a meta-analysis is any statistical analysis that attempts to combine the results of several individual studies. The term was apparently coined by statistician Gene V Glass in a 1976 speech he made to the American Education Research Association. Since that time, not only has meta-analysis become a fundamental tool in medicine, but it is...

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