Machine learning (feature selection) in R

I have been taking a couple of machine learning classes on Coursera (Johns Hopkins - Practical Machine Learning, WashU - Introduction to Data Science, waiting for Stanford's course to be offered again!) and I find the following post to be very useful in explaining in detail the mechanics of feature selection.

http://topepo.github.io/caret/featureselection.html

It explains various methods and algorithms for feature selection in R. The caret package is particularly useful as it conveniently unifies different methods under a single function wrapper, train.