If you have any interest in data mining and machine learning, you might have already caught the Kaggle bug.I myself fairly recently got caught up in following the various contests and forums after reading a copy of "Practical Time Series Forecasting," ...
I have updated the Google Scholar Web-Scraper Function GScholarScaper_2 to GScholarScraper_3 (and GScholarScaper_3.1) as it was deprecated due to changes in the Google Scholar html-code. The new script is more slender and faster. It returns a dataframe...
I’ve been going through the medal statistics in London 2012 Olympics recently. I was planning to present some extra charts, such as medal-per-milli-population or medal-vs-GDP. However, it’s a little boring to present the same kind of charts. Thus, I’d like to look into some particular … Continue reading →
We want to evaluate the seriousness of the threat posed by the recent ebola outbreak in western Uganda. The outbreak appeared in Kigadi, a small village in the Kibaale district. The disease was first confirmed by the government on 28 … Continue reading →
Whenever I write numerical code I spend half my time debugging my algebra, painstakingly uncovering one sign mistake after another in my calculations. Usually I have computed by hand the gradient or the integral of some nasty function, and I have to check it against a 
Here's a quick demo of creating a map with an inset within it using ggplot. The inset is achieved using the gridExtra package. Install libraries, set directory, read file setwd("/Users/ScottMac/Dropbox/CANPOLIN_networks_ms/data") # change ...
As some of you may know already, I’m co-organizing an upcoming conference called DataGotham that’s taking place in September. To help spread the word about DataGotham, I’m cross-posting the most recent announcement below: We’d like to let you know about DataGotham: a celebration of New York City’s data community! http://datagotham.com This is an event run
In this tutorial I am going to share my R&D and trading experience using the well-known from statistics Autoregressive Moving Average Model (ARMA). There is a lot written about these models, however, I strongly recommend Introductory Time Series with R, which I find is a perfect combination between light theoretical background and practical implementations in
People use the R language every day to create the elements of reports: tables, charts, analyses, and forecasts. But assembling all of that information into a print-ready document laid out with text can a hassle. You can cut-and-paste all of the elements into Word, but then what do you do when the data file gets updated at the last...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
