Blog Archives

Getting Started with Hidden Markov Models in R

March 6, 2014
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Getting Started with Hidden Markov Models in R

by Joseph Rickert In addition to the considerable benefit of being able to meet other, like-minded R users face-to-face, R user groups fill a niche in the world of R education by providing a forum for communicating technical information in an informal and engaging manner. Conferences such as useR!, JSM and countless smaller statistical meetings solicit expert level talks,...

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Emacs, ESS and R for Zombies

March 4, 2014
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Emacs, ESS and R for Zombies

by Rodney Sparapani, PhD Rodney is an Assistant Professor in the Institute for Health and Society from the Division of Biostatistics at the Medical College of Wisconsin in Milwaukee and president of the Milwaukee Chapter of the ASA which is hosting an R workshop on Data Mining in Milwaukee on April 4th. Emacs Speaks Statistics (ESS) is a GPL...

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R User Groups Update

February 27, 2014
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R User Groups Update

by Joseph Rickert After an end-of-year slow down in R user group acrtivity that lasted into mid January, the Revolution Analytics’ Community Calendar indicates that R user groups worldwide are back in full swing with 48 events listed in the short month of February. And, while the total number of active user groups has not grown from this time...

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Quantitative Finance Applications in R – 4: Using the Generalized Lambda Distribution to Simulate Market Returns

February 25, 2014
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Quantitative Finance Applications in R – 4:  Using the Generalized Lambda Distribution to Simulate Market Returns

by Daniel Hanson, QA Data Scientist, Revolution Analytics Introduction As most readers are well aware, market return data tends to have heavier tails than that which can be captured by a normal distribution; furthermore, skewness will not be captured either. For this reason, a four parameter distribution such as the Generalized Lambda Distribution (GLD) can give us a more...

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Sampling from a torus

February 19, 2014
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Sampling from a torus

by Joseph Rickert One of the key ideas in topological data analysis is to consider a data set to be a sample from a manifold in some high dimensional topological space and then to use the tools of algebraic topology to reconstruct the manifold. It turns out that the converse problem of taking a random sample from a given...

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Princeton vs. Facebook: modeling contagion

February 18, 2014
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Princeton vs. Facebook: modeling contagion

by James Paul Peruvankal, Senior Program Manager at Revolution Analytics Three weeks ago, researchers at Princeton released a study on Epidemiological modeling of online social network dynamics that states Facebook might lose 80% of its users by 2015-2017. Facebook data scientists hilariously debunked the study stating that Princeton itself would lose all of its students by 2021, using the...

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3D Plots in R

February 13, 2014
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3D Plots in R

by Joseph Rickert Recently, I was trying to remember how to make a 3D scatter plot in R when it occurred to me that the documentation on how to do this is scattered all over the place. Hence, this short organizational note that you may find useful. First of all, for the benefit of newcomers, I should mention that...

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Revolution R Enterprise in the Amazon Cloud

February 12, 2014
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by Oliver Vagner, Cloud Solutions Lead Architect at Revolution Analytics Today, I am pleased to announce our new offering in the Amazon Web Services Big Data Marketplace – Revolution R Enterprise 7 for AWS. Of course, if you follow this blog, then you are quite familiar with Revolution R Enterprise (RRE) and what it brings to the table with...

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R and the Weather

February 6, 2014
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R and the Weather

by Joseph Rickert The weather is on everybody's mind these days: too much ice and snow east of the Rockies and no rain to speak fo in California. Ram Narasimhan has made it a little easier for R users to keep track of what's going on and also get a historical perspective. His new R package weatherData makes it...

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Revolution Analytics announces $999 site licenses for universities and public service organizations

February 4, 2014
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by Joseph Rickert Revolution Analytics is announcing three new programs today that we hope will be modest but positive contributions to data science education and public service analytics. The first new program, the Academic Institution Program (AIP) enables colleges, universities and other educational institutions to obtain a site license for Revolution Analytics' commercial distribution of the R Language, Revolution...

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