Monthly Archives: July 2012

Using R for classification in small-N studies

July 14, 2012
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Rick Davies just wrote an interesting post which combined thoughts on QCA (and multi-valued QCA or mvQCA) and classification trees with thoughts on INUS causation and classification trees. The question was something like: how can we look at...

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Linear programming in R: an lpSolveAPI example

July 14, 2012
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Linear programming in R: an lpSolveAPI example

First of all, a shout out to R-bloggers for adding my feed to their website! Linear programming is a valuable instrument when it comes to decision making. This post shows how R in conjunction with the lpSolveAPI package, can be used to build a linear programming model and to analyse  Read more »

Smartphone operating system share mosaic plot

July 13, 2012
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Smartphone operating system share mosaic plot

(This article was first published on Actuarially (Matt Malin), and kindly contributed to R-bloggers) Smartphone operating system share mosaic plot Author: Matt Malin The increasing dominance of smartphones across the market is a very common topic in technology and news sites, with analysis of operating system share and phone types often shown in the media. Stumbling across this article...

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Processing Public Data with R

July 13, 2012
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Processing Public Data with R

I use R aplenty in analysis and thought it might be worthwhile for some to see the typical process a relative newcomer goes through in extracting and analyzing public datasets In this instance I happen to be looking at Canadian air pollution statistics. The data I am interested in is available on the Ontario Ministry

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Applications of R at Google

July 13, 2012
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At a talk I saw at the useR!2012 conference last month, Googler Karl Millar estimated that there are at least 200 active R users at Google, plus another 300+ occasional users participating in Google's internal R support list. But what are all these Google employees doing with R? A post from the Google Research team published on Google+ yesterday...

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influence.ME updated to version 0.9

July 13, 2012
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Influence.ME is an R extension package for R that provides tools for detecting influential data in multilevel regression models. It is developed by Rense Nieuwenhuis (that’s me), Manfred te Grotenhuis, and Ben Pelzer. Recently, a new version (0.9) was uploaded ...

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Analysing time course microarray data using Bioconductor: a case study using yeast2 Affymetrix arrays

July 13, 2012
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Analysing time course microarray data using Bioconductor: a case study using yeast2 Affymetrix arrays

A few years ago I was involved in analysing some time-course microarray data. Our biological collaborators were interested in how we analysed their data, so this lead to a creation of tutorial, which in turn lead to a paper. When we submitted the paper, one the referees “suggested” that we write the paper using Sweave;

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Dynamical systems: Mapping chaos with R

July 13, 2012
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Dynamical systems: Mapping chaos with R

Chaos. Hectic, seemingly unpredictable, complex dynamics. In a word: fun. I usually stick to the warm and fuzzy world of stochasticity and probability distributions, but this post will be (almost) entirely devoid of randomness. While chaotic dynamics are entirely deterministic, their sensitivity to initial conditions can trick the observer into seeing iid. In ecology, chaotic

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Examples and resources on association rule mining with R

July 13, 2012
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Examples and resources on association rule mining with R

by Yanchang Zhao, RDataMining.com The technique of association rules is widely used for retail basket analysis, as well as in other applications to find assocations between itemsets and between sets of attribute-value pairs. It can also be used for classification … Continue reading →

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R for Ecologists: Making MATLAB-like Graphs in R

July 13, 2012
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R for Ecologists: Making MATLAB-like Graphs in R

I’ve decided that my blog should become a brain dump for my experience/troubles/solutions to programming in R. I’ve met many people who want to learn but don’t have the time or patience to sit down and figure it out from … Continue reading →

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