Blog Archives

R User Group Activity

March 5, 2015
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R User Group Activity

by Joseph Rickert R user group activity is still on the rise. The following plot of the number of R user group meetings listed on Revolution Analytics' Community Calendar over the most recent 114 weeks shows a slight to upward trend along with a couple of annual cycles. Predictably, meetings trail off in the summer months and again late...

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Plotly Graphs with Domino’s New R Notebook

March 3, 2015
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Plotly Graphs with Domino’s New R Notebook

by Matt Sundquist co-founder of Plotly Domino's new R Notebook and Plotly's R API let you code, make interactive R and ggplot2 graphs, and collaborate entirely online. Here is the Notebook in action: Published R Notebook To execute this Notebook, or to build your own, head to Domino's Plotly Project. The GIF below shows how to get started: choose...

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Collaborative Computing with distcomp

February 26, 2015
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Collaborative Computing with distcomp

by Joseph Rickert Distcomp, a new R package available on GitHub from a group of Stanford researchers has the potential to significantly advance the practice of collaborative computing with large data sets distributed over separate sites that may be unwilling to explicitly share data. The fundamental idea is to be able to rapidly set up a web service based...

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Some R Conferences in 2015

February 19, 2015
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by Joseph Rickert For the past few years, the Strata + Hadoop World Conference in San Jose has kicked off my personal conference season. With its focus on Data Science, Strata always seems to present some interesting R related talks, and I am looking forward to the various events over the next couple of days. But, Strata and other...

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The HP Workshop on Distributed Computing in R

February 12, 2015
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The HP Workshop on Distributed Computing in R

by Joseph Rickert In the last week of January, HP Labs in Palo Alto hosted a workshop on distributed computing in R that was organized by Indrajit Roy (Principal Researcher, HP) and Michael Lawrence (Genentech and R-core member). The goal was to bring together a small group of R developers with significant experience in parallel and distributed computing to...

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rcrunchbase – An API Interface to CrunchBase

February 10, 2015
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James Peruvankal Sr. Program Manager, Revolution Analytics Information about the technology business ecosystems is valuable to both established companies as well as startups. Fortunately CrunchBase - the world’s most comprehensive dataset of startup activity, captures quite a bit of such information. Founded in 2007 by Mike Arrington, CrunchBase began as a simple crowd-sourced database to track startups covered on...

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A Machine Learning Result

February 5, 2015
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A Machine Learning Result

by Joseph Rickert Learning to effectively use any of the dozens of popular machine learning algorithms requires mastering many details and dealing with all kinds of practical issues. With all of this to consider, it might not be apparent to a person coming to machine learning from a background other than computer science or applied math that there are...

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Sharing Your Shiny Apps

February 3, 2015
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Sharing Your Shiny Apps

by Siddarth Ramesh R Programmer, Revolution Analytics A couple of months ago, I worked on a customer engagement involving Shiny. Shiny is a package created by RStudio that is intended to make plots dynamic and interactive. One advantage of Shiny is that an app would completely be written in R, without needing to know any other programming languages. Shiny...

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An R User Group Mini Conference

January 29, 2015
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by Joseph Rickert With a membership that spans the entire Bay Area and the ability to hold meetings from San Jose to San Francisco, the Bay Area useR Group is in the very fortunate position of being able to attract world-class R speakers on a regular basis. Meetings that feature multiple speakers often attract 80 to a 100 or...

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Parallel Programming with GPUs and R

January 27, 2015
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by Norman Matloff You've heard that graphics processing units — GPUs — can bring big increases in computational speed. While GPUs cannot speed up work in every application, the fact is that in many cases it can indeed provide very rapid computation. In this tutorial, we'll see how this is done, both in passive ways (you write only R),...

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