Principal component analysis (pca) is a great dimension reduction method to reduce large datasets to a smaller set, keeping the key, or principal components. R offers functions to carry out pca with ease, but creating good looking biplots in R can be quite involved, or require additional packages.
I've written a new, better biplot function, which makes creating beautiful looking biplots a breeze. And, its all written in base R, so does not require any additional packages to be installed. Just load the script and start plotting!