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... [Read more...]

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...]

[This article was first published on Actuarially (Matt Malin), and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 → [Read more...]

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 → [Read more...]

Today I want to show a simple example of the 1-Month Reversal Strategy. Each month we will buy 20% of loosers and short sell 20% of winners from the S&P 500 index. The loosers and winners are measured by prior 1-Month returns. I will use this post to set the stage for ... [Read more...]

Conrad released version 3.2.4 of Armadillo yesterday. It contains a workaround for g++ 4.7.0 and 4.7.1 which have a regression triggered by the Armadillo codebase for small fixed-sized matrices. The corresponding RcppArmadillo package 0.3.2.4 arrived ... [Read more...]

Got some great reactions to the Napa Valley wine tasting map made with the ggmap package I posted on Monday. A couple of people asked if similar maps could be made for other wine regions (like Australia's Hunter Valley, or the Walla Walla region in Washington): provided you have a ... [Read more...]

Discrete-event simulation is a very useful tool when it comes to simulating alternative scenario’s for current of future business operations. Let’s take the following case; Patients of an outpatient diabetes clinic are complaining about long waiting times, this seems to have an adverse effect on patient satisfaction and ... [Read more...]

In the previous post we saw how much convenient could be GenABEL in the management of genotypic/phenotypic data. We introduced the import of genotypic data from an Illumina format file: __ convert.snp.illumina(inf = "gen.illu", out = "gen.raw", strand = "file") … Continue reading → [Read more...]

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Last time, I posted some R code to help quickly launch many iButton Thermochron temperature dataloggers with the same mission parameters. The R code makes use of a publicly-available command line utility released by the iButton’s manufacturer, Maxim.  Of course, Maxim also has a command line utility for downloading ... [Read more...]

I make using OpenBUGS fun (and easier)! I've been a BUGS, WinBUGS and OpenBUGS user for some time now (20 years and counting!). The combination of R and OpenBUGS using the R2OpenBUGS package allows the user to bring together data preparation... [Read more...]

In a previous post, I discussed different approaches to speeding up some loops in data frames. In particular, R data frames provide a simple framework for representing large cohorts of agents in stochastic epidemiological models, such as those representing disease … Continue reading → [Read more...]

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