Blog Archives

Microsoft R Server available free to students with DreamSpark

January 12, 2016
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Microsoft R Server available free to students with DreamSpark

by Joseph Rickert Over the last 6 years, thousands of students and faculty have downloaded Revolution R Enterprise (RRE) from Revolution Analytics for free, making it possible for them to do statistical modeling on large data sets with the same R language used by savvy statisticians and data scientists in business and industry. In addition to this individual scholar...

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Getting Started with Markov Chains

January 7, 2016
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Getting Started with Markov Chains

by Joseph Rickert There are number of R packages devoted to sophisticated applications of Markov chains. These include msm and SemiMarkov for fitting multistate models to panel data, mstate for survival analysis applications, TPmsm for estimating transition probabilities for 3-state progressive disease models, heemod for applying Markov models to health care economic applications, HMM and depmixS4 for fitting Hidden...

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7th Meeting of Spanish R Users. 5-6 November 2015. Salamanca (Spain)

January 5, 2016
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7th Meeting of Spanish R Users. 5-6 November 2015. Salamanca (Spain)

By Virgilio Gómez Rubio, Spanish R Users Organizing Committee As every autumn since 2009, Spanish R users gathered at their annual meeting. It is organised by Spanish R users group ‘Comunidad R-Hispano’and took place in 5-6 November in the historic city of Salamanca. The 7th Meeting of Spanish R Users attracted more than 100 R entusiasts and provided a...

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Looking forward to 2016

December 24, 2015
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Looking forward to 2016

by Joseph Rickert The following map of all of the R user groups listed in Microsoft's Local R User Group Directory is good way to visualize the R world as we rocket into 2016. As a member of the useR!2016 planning committee, foremost in my mind right now is that in just a few months people will be coming...

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Trade-offs to consider when reading a large dataset into R using the RevoScaleR package

December 15, 2015
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Trade-offs to consider when reading a large dataset into R using the RevoScaleR package

by Seth Mottaghinejad, Data Scientist at Microsoft R and big data There are many R packages dedicated to letting users (or useRs if you prefer) deal with big data in R. (We will intentionally avoid using proper case for 'big data', because (1) the term has been somewhat hackneyed, and (2) for the sake of this article we can...

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Wald’s graphical sequential inspection procedure

December 10, 2015
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Wald’s graphical sequential inspection procedure

by John Mount Ph.D. Data Scientist at Win-Vector LLC Our most recent article was a dynamic programming solution to the A/B test problem. Explicitly solving such dynamic programs is a long and tedious process, so you are well served by finding and introducing clever invariants to track (something better than just raw win-rates). This clever idea, called "sequential analysis",...

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Fun with ddR: Using Distributed Data Structures in R

December 8, 2015
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Fun with ddR: Using Distributed Data Structures in R

by Edward Ma and Vishrut Gupta (Hewlett Packard Enterprise) A few weeks ago, we revealed ddR (Distributed Data-structures in R), an exciting new project started by R-Core, Hewlett Packard Enterprise, and others that provides a fresh new set of computational primitives for distributed and parallel computing in R. The package sets the seed for what may become a standardized...

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Feature Selection with caret’s Genetic Algorithm Option

December 3, 2015
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Feature Selection with caret’s Genetic Algorithm Option

by Joseph Rickert If there is anything that experienced machine learning practitioners are likely to agree on, it would be the importance of careful and thoughtful feature engineering. The judicious selection of which predictor variables to include in a model often has a more beneficial effect on overall classifier performance than the choice of the classification algorithm itself. This...

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Exploring Recursive CTEs with sqldf

December 1, 2015
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Exploring Recursive CTEs with sqldf

by Bob Horton Sr. Data Scientist at Microsoft Common table expressions (CTEs, or “WITH clauses”) are a syntactic feature in SQL that makes it easier to write and use subqueries. They act as views or temporary tables that are only available during the lifetime of a single query. A more sophisticated feature is the “recursive CTE”, which is a...

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R User Group Activity 2015

November 27, 2015
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R User Group Activity 2015

by Joseph Rickert 2015 has been a good year for R user groups, both in terms of activity and the number of new groups founded. The plot below which runs 12/30/2012 through the week beginning with Monday 11/23/2015 shows that the number of weekly meeting continues to drift up to the right. You can see the seasonal pattern of...

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