Blog Archives

Some Impressions from R Finance 2016

May 27, 2016
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Some Impressions from R Finance 2016

by Joseph Rickert R / Finance 2016 lived up to expectations and provided the quality networking and learning experience that longtime participants have come to value. Eight years is a long time for a conference to keep its sparkle and pizzazz. But, the conference organizers and the UIC have managed to create a vibe that keeps people coming back....

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Principal Components Regression in R: Part 2

May 24, 2016
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Principal Components Regression in R: Part 2

by John Mount Ph. D. Data Scientist at Win-Vector LLC In part 2 of her series on Principal Components Regression Dr. Nina Zumel illustrates so-called y-aware techniques. These often neglected methods use the fact that for predictive modeling problems we know the dependent variable, outcome or y, so we can use this during data preparation in addition to using...

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User Groups and R Awareness

May 19, 2016
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User Groups and R Awareness

by Joseph Rickert For quite a few years now we have attempted to maintain the Revolution Analytics' Local R User Group Directory as the complete and authoritative list of R user groups. Meetup groups make this list in one of two ways: we discover the group because they have a web page of some sort proclaiming the group to...

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Principal Components Regression in R, an operational tutorial

May 17, 2016
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Principal Components Regression in R, an operational tutorial

John Mount Ph. D. Data Scientist at Win-Vector LLC Win-Vector LLC's Dr. Nina Zumel has just started a two part series on Principal Components Regression that we think is well worth your time. You can read her article here. Principal Components Regression (PCR) is the use of Principal Components Analysis (PCA) as a dimension reduction step prior to linear...

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Good R Packages

May 12, 2016
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Good R Packages

by Joseph Rickert What makes for a good R package? With over 8,000 packages up on CRAN the quantity of packages is clearly not an issue for R users. Developing an instinct to recognize quality, however, both requires and deserves some effort. I regularly spend time on Dirk Eddelbuettel’s CRANberries site investigating new packages and monitoring changes in old...

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Bike Rental Demand Estimation with Microsoft R Server

May 10, 2016
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Bike Rental Demand Estimation with Microsoft R Server

by Katherine Zhao, Hong Lu, Zhongmou Li, Data Scientists at Microsoft Bicycle rental has become popular as a convenient and environmentally friendly transportation option. Accurate estimation of bike demand at different locations and different times would help bicycle-sharing systems better meet rental demand and allocate bikes to locations. In this blog post, we walk through how to use Microsoft...

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Build a Gradient Boosted Trees Model with Microsoft R Server

May 3, 2016
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Build a Gradient Boosted Trees Model with Microsoft R Server

by Yuzhou Song, Microsoft Data Scientist R is an open source, statistical programming language with millions of users in its community. However, a well-known weakness of R is that it is both single threaded and memory bound, which limits its ability to process big data. With Microsoft R Server (MRS), the enterprise grade distribution of R for advanced analytics,...

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Reading Efron with R

May 2, 2016
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Reading Efron with R

by Joseph Rickert When I first went to grad school, the mathematicians advised me cultivate the habit of reading with a pencil. This turned into a lifelong habit and useful skill for reading all sorts of things: literature, reports and newspapers for example; not just technical papers. However, reading statistics and data science papers, or really anything that includes...

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R Conferences: Europe 2016

April 28, 2016
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R Conferences: Europe 2016

by Joseph Rickert Answering email queries from friends and acquaintances from around the world wanting to attend useR! 2016 has been painful. It is amazing that the conference sold out a full two months before its start, but upon reflection, not unbelievable. From its inception useR! has been an "academic" conference both in spirit and location. Including this year's...

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A Data Scientist’s Perspective on Microsoft R

April 26, 2016
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A Data Scientist’s Perspective on Microsoft R

by Lixun Zhang, Data Scientist at Microsoft As a data scientist, I have experience with R. Naturally, when I was first exposed to Microsoft R Open (MRO, formerly Revolution R Open) and Microsoft R Server (MRS, formerly Revolution R Enterprise), I wanted to know the answers for 3 questions: What do R, MRO, and MRS have in common? What’s...

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