Blog Archives

Social reception for R enthusiasts at Joint Statistics Meetings

July 27, 2011
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Social reception for R enthusiasts at Joint Statistics Meetings

At the JSM 2011 conference in Miami on Monday, August 1, Revolution Analytics will be hosting a cocktail reception for R users, and anyone interested in R. From 5:30-7:30 at Emeril's Miami Beach House (in the JSM host hotel), we'll have appetizers, drinks, and the opportunity to socialize with R users from around the word. There will also be...

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The Luck and Skill of Scrabble

July 26, 2011
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The Luck and Skill of Scrabble

Scrabble is a game that involves both skill and luck. There's skill in knowing the words you can play and — especially — the most advantageous ways to play them. But there's also luck in the tiles you draw randomly from the bag: get saddled with a rack containing four I's and there's usually not much you can do....

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The R-Files: Jeff Ryan

July 25, 2011
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The R-Files: Jeff Ryan

"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Jeff Ryan Profession: Owner/Principal at Lemnica; Committee Member at R/Finance Nationality: American Years Using R: 8 Known for: R/Finance Conference, quantmod and xts packages Jeffrey Ryan is a Chicago-based quantitative software analyst and avid R user. He is perhaps best...

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IBM Netezza: Embrace open source analytics

July 22, 2011
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Earlier this month Thomas Dinsmore, solutions architect for IBM Netezza’s Advanced Analytics team, had a great blog post on why companies should embrace R as an analytics platform. He says: There are three main reasons R should be part of your enterprise analytics architecture: R has capabilities not available in commercial analytics software Usage of R by analysts is...

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A bit of fun with R

July 22, 2011
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A bit of fun with R

R isn't just about serious things like model inference and prediction intervals and big analytics. Sometimes, R lets its hair down and just does weird and wonderful things because ... well just because. For example, with a package from Paulo Sonego, it can display your favourite XKCD cartoon: > install.packages("RXKCD", repos="http://R-Forge.R-project.org",type="source") > searchXKCD("support") num title 1 8 Red spiders...

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Uwe Ligges joins R-core

July 22, 2011
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TU Dortmund professor Uwe Ligges is now a member of R-core, the group of 20 leading statisticians and computer scientists who oversee the R Project and develop and maintain the source code for the R engine and its core packages. Uwe has been very active in the R project for many years: he maintains the system that builds Windows...

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Visualizing Kickstarter Projects with R

July 20, 2011
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Visualizing Kickstarter Projects with R

Kickstarter, a social funding platform where individuals can chip in cash to get a worthy project going, just celebrated their 10,000th kickstarted project. Kickstart employee Fred Benenson recognized the achievement by visualizing the funding of music, design, art, game and many other kinds of projects using R and ggplot2. For example, here's a chart that shows the increasing rate...

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Growth in data-related jobs

July 19, 2011
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Growth in data-related jobs

At job-search site indeed.com, you can take a look at trends in the use of keywords used in job postings. As you might expect, job postings containing terms related to making sense from data are on the rise. Here's the growth in job postings mentioning big data: And here's statistician: The drop-off in demand for statisticians 2011 seems to...

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GigaOm article on R, Big Data and Data Science

July 18, 2011
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I'm really pleased that an article I wrote, "5 real-world uses of big data", has been published in the widely-read technology blog GigaOm. In the article, I review five examples of using data science techniques and R to make sense of some large real-world data sets: Drew Conway's analysis of the Afghanistan attacks data released by Wikileaks Benetech's use...

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Fast logistic regression on Big Data with commodity hardware? No problem.

July 18, 2011
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You might think that doing advanced statistical analysis on Big Data is out of reach for those of us without access to expensive hardware and software. For example, back in April SAS was proud to demonstrate being able to run logistic regression on a billion records (and "just a few" variables) in less than 80 seconds. But that feat...

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