The Google AI Challenge recently wrapped up with a Lisp developer from Hungary as the winner. The competition challenges contestants to create bots that push the limits of AI and game theory. These bots compete against one another, and a complete ranking of competitors is available. The big story today is...
Online classes are an easy and convenient way to learn more about a topic of interest. Not surprisingly, there are a variety of online resources, free and otherwise, to learn more about R. From online graduate classes, to the more “learn at your own pace” approach, here are some resources I have found useful: Programming 
The visualization represented by Hans Rosling’s TED talk was very impressive. FlowingData provides a tutorial on making bubble chart in R. I try to create bubble chart by using ggplot2. With the dataset provided by FlowingData,The bubble chart was made by the following code. Read More: 548 Words Totally
The visualization represented by Hans Rosling’s TED talk was very impressive. FlowingData provides a tutorial on making bubble chart in R. I prefer ggplot2 for graphics.
Gene Ontology is the de facto standard for annotation of gene products. It has been widely used in biological data mining, and I believe it will play more central role in the future. Publications mentioning GO was collected and deposited in GO ftp, and can be accessed (ftp://ftp.geneontology.org/go/doc/). Read More: 454 Words Totally
As so often happens these days, a brief post at FriendFeed got me thinking about data analysis. Entitled “So how many retractions are there every year, anyway?”, the post links to this article at Retraction Watch. It discusses ways to estimate the number of retractions and in particular, a recent article in the Journal of 
This post documents an example of using Sweave to generate individualised personality reports based on responses to a personality test. Each report provides information on both the responses of the general sample and responses of the specific respond...
This post documents an example of using Sweave to generate individualised personality reports based on responses to a personality test. Each report provides information on both the responses of the general sample and responses of the specific respond...
Feature selection is the data mining process of selecting the variables from our data set that may have an impact on the outcome we are considering. For commercial data mining, which is often characterised by having too many variables for model building, this is an...
Feature selection is the data mining process of selecting the variables from our data set that may have an impact on the outcome we are considering. For commercial data mining, which is often characterised by having too many variables for model building, this is an...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
