Monthly Archives: July 2013

Lambda.r 1.1.2 released to CRAN

July 11, 2013
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Lambda.r 1.1.2 released to CRAN

This was mostly a bug scrub to improve the stability and robustness of the package. As always, the package is …Continue reading »

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Detecting regime change in irregular time series

July 11, 2013
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Detecting regime change in irregular time series

In my current research, I am modeling consumer spending behavior to predict future income and spending. To do this I …Continue reading »

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Let’s Make a Date: Date and Time classes in R

July 11, 2013
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rxDTree(): a new type of tree algorithm for big data

July 11, 2013
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by Joseph Rickert The rxDTree() function included in the RevoScaleR package distributed with Revolution R Enterprise is an an example of a new class of algorithms that are being developed to deal with very large data sets. Although the particulars differ, what these algorithms have in common is the use of approximations, methods of summarizing or compressing data and...

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Building DataMind: FREE Online Interactive Learning Plaftorm for R

July 11, 2013
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Building DataMind: FREE Online Interactive Learning Plaftorm for R

DataMind is the first free interactive online learning platform for R. Through an in-browser coding environment we offer exercise-based learning-by-doing. Our goal is to build a fun learning experience for data analysis and R, while allowing anyone to create courses! You can check out an early stage beta version at www.DataMind.org ! With DataMind, we focus on three

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A Julia Meta Tutorial

July 11, 2013
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A Julia Meta Tutorial

If you are thinking about taking Julia, the hot new mathematical, statistical, and data-oriented programming language, for a test drive, you might need a little bit of help. In this blog we round up some great posts discussing various aspects … Continue reading → The post A Julia Meta Tutorial appeared first on Data Community DC.

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TriMatch – useR! 2013 Slides and Version 0.9 Released to CRAN

July 11, 2013
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TriMatch – useR! 2013 Slides and Version 0.9 Released to CRAN

Our presentation on the TriMatch package at the useR! 2013 Conference went fantastically. Thanks for those who attended and the wonderful discussion that followed. The slides can be downloaded from Github as well as the abstract. To coincide with our presentation version 0.9 has been released to CRAN. The package includes a vignette and two demos. install.packages('TriMatch',repos='http://cran.r-project.org') require(TriMatch) vignette('TriMatch') demo(tutoring) demo(nmes)

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Expected Points by Position Rank in Fantasy Football

July 10, 2013
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Expected Points by Position Rank in Fantasy Football

In this post, I calculate the expected fantasy points scored by players based on their position and position rank.  This post is modeled after a post by Chase Stuart (see here and The post Expected Points by Position Rank in Fantasy Football appeared first on Fantasy Football Analytics.

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Expected Points by Position Rank in Fantasy Football

July 10, 2013
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Expected Points by Position Rank in Fantasy Football

In this post, I calculate the expected fantasy points scored by players based on their position and position rank.  This post is modeled after a post by Chase Stuart (see here), where he calculated players' expected fantasy points as a functi...

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UseR! 2013 – Day 1 notes

July 10, 2013
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UseR! 2013 – Day 1 notes

Hadley Wickham presents at the useR! 2013 conference, July 10 2013 Today marked the first day of the 2103 useR! conference, a gathering of more than 350 R users from around the world. The conference has been quite a success so far, kicking off yesterday with a day of tutorials followed by a tapas-fueled welcome party in the center...

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