Monthly Archives: July 2013

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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Analyse discriminante linéaire ou Regression logistique

July 10, 2013
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Analyse discriminante linéaire ou Regression logistique

Supposons que l'on dispose d'iris de Paris (en population >100khabts) et qu'on veuille pouvoir les classer selon leurs caractéristiques sociodémos : Population taux de chômage Etudiants CSP etc... Une fois, les iris classés, on se demande si l'on peut transporter cette typologie à une autre grande ville (Lyon) par exemple : Il faudrait alors pouvoir utiliser un modèle d'affectation des iris selon leurs caractéristiques respectives...

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Visualizing a tiny slice of India’s demographics with information from Wikipedia

July 10, 2013
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Visualizing a tiny slice of India’s demographics with information from Wikipedia

This post presents a tiny slice of a complex and diverse India using charts. (Data retrieval from Wikipedia on 9 July, 2013 and the analysis were performed using R; charts were generated using ggplot2, googleVis and wordcloud. More information can be f...

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