Here is a simple application to transform text into a beautiful word cloud, Text Mining to WordCloud. The purpose is to find out the highest frequency word in a certain text. It is an app built with R language, the source code is attached at the end of...
Introduction For me, Hadley Wickham‘s reshape and plyr packages are invaluable because they encapsulate omnipresent design patterns in statistical computing: reshape handles switching between the different possible representations of the same underlying data, while plyr automates what Hadley calls the Split-Apply-Combine strategy, in which you split up your data into several subsets, perform some computation
I love to benchmark. Maybe I’m a bit weird but I love to bench everything in R. Recently I’ve had people raise accuracy challenges to the typical system.time and rbenchmark package approaches to benchmarking. I saw Hadley Wickham promoting the … Continue reading →
Cohort analysis is super important if you want to know if your service is in fact a leaky bucket despite nice growth of absolute numbers. There’s a good write up on that subject “Cohorts, Retention, Churn, ARPU” by Matt Johnson. So how to do it using R and how to visualize it. Inspired by examples
Inspired by Margintale’s post “ggplot2 Time Series Heatmaps” and Google Flu Trends I decided to use a heat map to visualize sick days logged by HeiaHeia.com Finnish users. I got the data from our database, filtering results by country (Finnish users only) in a tab separated form with the first line as the header. Three columns
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...
Recently I have calculated Banzhaf power index. I required generation of all subsets of a given set. The code given there was a bit complex and I have decided to write a simple function calculating it. As an example of its application I reproduce Figur...
Ever wanted to look at PubMed trends and make elegant graphs of them? Here’s an R script that will do it automatically for you.
Ok so I have now done two iterations on the a better way to visualize term frequencies using R, ggplot2 and plyr. The first was ok but ugly, the second was better but still ugly. How to read it: Frequency is segmented in to 20% quantiles The frequency ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
