Monthly Archives: July 2011

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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A Plot of 250 Random Walks

July 22, 2011
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A Plot of 250 Random Walks

For some reason I feel like plotting some random walks. Nothing groundbreaking, but hopefully this post will be useful to someone. Here's my R code:# Generate k random walks across time {0, 1, ... , T}T <- 100k <- 250initial.value <- 10GetRa...

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Le Monde puzzle [#28]

July 22, 2011
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Le Monde puzzle [#28]

The puzzle of last weekend in Le Monde was about finding the absolute rank of x9 when given the relative ranks of x1,….,x8 and the possibility to ask for relative ranks of three numbers at a time. In R terms, this means being able to use or yet being able to sort the first 8

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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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Parallel random forests using foreach

July 22, 2011
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Parallel random forests using foreach

There's been some discussion on the kaggle forums and on a few blogs about various ways to parallelize random forests, so I thought I'd add my thoughts on the issue.Here's my version of the 'parRF' function, which is based on the elegant version in the...

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Prepping for useR! 2011 – tty connection update

July 22, 2011
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Prepping for useR! 2011 – tty connection update

I'm putting together my presentation for useR! 2011 titled "Experimenting with a tty connection for R". Hence, I've updated the tty connection patch to work with R versions 2.13.0 and 2.13.1. And, instead of re-listing the patch files and re-writing instructions on their application, I've devoted a small portion of my Code page for this

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A Quick Look At Unemployment

July 21, 2011
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A Quick Look At Unemployment

Labor market tightness is defined as the vacancies or job openings rate divided by the unemployment rate.  The theory goes that as job openings increase relative to the unemployment rate a tightness is created in that workers get the upper hand in...

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Smoothing temporally correlated data

July 21, 2011
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Smoothing temporally correlated data

Something I have been doing a lot of work with recently are time series data, to which I have been fitting additive models to describe trends and other features of the data. When modelling temporally dependent data, we often need … Continue reading →

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One-liners which make me love R: twitteR’s searchTwitter() #rstats

July 21, 2011
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One-liners which make me love R: twitteR’s searchTwitter() #rstats

R reminds me a lot of English. It’s easy to get started, but very difficult to master. So for all those times I’ve spent… well, forever… trying to figure out the “R way” of doing something, I’m glad to share these quick wins. My recent R tutorial on mining Twitter for consumer sentiment wouldn’t have

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