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R

This category contains 16 posts

Buster – a new R package for bagging hierarchical clustering

I recently found myself a bit stuck. I needed to cluster some data. The distances between the data points were not representable in Euclidean space so I had to use hierarchical clustering. But then I wanted stable clusters that would retain their shape as I updated the data set with new observations. This I could … Continue reading

Include uncertainty in a financial model

Here’s a post that appears on my new website, coppelia.io. The problem You’ve been asked to calculate some figure or other (e.g. end of year revenue, average customer lifetime value) based on numbers supplied from various parts of the business. You know how to make the calculation but what bothers you is that some of … Continue reading

Box Me

Here’s a short R function I wrote to turn a long data set into a wide one for viewing. It’s not the most exciting function ever but I find it quite useful when my screen is wide and short. It simply cuts the data set horizontally into equal size pieces and puts them side by … Continue reading

Visualising Shrinkage

A useful property of mixed effects and Bayesian hierarchical models is that lower level estimates are shrunk towards the more stable estimates further up the hierarchy. To use a time honoured example you might be modelling the effect of a new teaching method on performance at the classroom level. Classes of 30 or so students … Continue reading

Mahout for R Users

I have a few posts coming up on Apache Mahout so I thought it might be useful to share some notes. I came at it as primarily an R coder with some very rusty Java and C++ somewhere in the back of my head so that will be my point of reference. I’ve also included … Continue reading

Clegg vs Pleb: An XKCD-esque chart

I saw an interesting “challenge” on StackOverflow last night to create an XKCD style chart in R. A couple of hours later & going in a very similar direction to a couple of the answers on SO, I got to something that looked pretty good, using the sin and cos curves for simple and reproducible … Continue reading

Why are pirates called pirates?

In homage to International Talk Like a Pirate Day… I recently stumbled across a series of blog posts from the folks at IDV that visualised the archive of recorded pirate attacks which has been collected by theĀ US National Geospatial-Intelligence Agency. It’s a dataset of 6000+ pirate attacks which have been recorded over the last 30 … Continue reading

R: Creating a shortcut to run a gWidgets GUI

I’ve been playing around with using gWidgets on Windows over the last few weeks as a way of creating front ends for various functions and set of functions that I’ve created, so that non R users can have the benefit of these without having to write a single line of code. The likes of 4Dpiecharts … Continue reading

Visualising the Path of a Genetic Algorithm

We quite regularly use genetic algorithms to optimise over the ad-hoc functions we develop when trying to solve problems in applied mathematics. However it’s a bit disconcerting to have your algorithm roam through a high dimensional solution space while not being able to picture what it’s doing or how close one solution is to another. … Continue reading

118 years of US State Weather Data

A recent post on the Junkcharts blog looked at US weather dataand the importance of explaining scales (which in this case went up to 118). Ultimately, it turns out that 118 is the rank of the data compared to the previous 117 years of data (in ascending order, so that 118 is the highest). At … Continue reading

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