Preparing for the tutorial of "Introductory Econometrics with Examples in R" gets me really excited about it. R is a very powerful language (some body claim that it is only an environment, which is the case when you only use built-in functions or packages available. It actually can do more than that, much much more.) It can do whatever you can imagin, e.g. solving equations, optimization, numerical integration, monte carlo, statistical inference, Bayesian analysis, MCMC, bootstrap, EN, Sparse PCA, time series analysis, panel data, spatial analysis, production analysis, graphical analysis, animation, clustering, parrallel computing, .... It can also do many things that you cannot even imagin, such as Archetypal Analysis, fuzzy knowledge base learning, Forensic Genetics, etc. Just check the online packages at
http://cran.r-project.org/index.html
Getting excited, I've decided to write/collect one example here per day to keep practicing and learning R. Hope this will continue as a habit and attract interested readers as well.
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