R for speed, R for fun

This week Keegan Hines will teach you how to get fancy with R. He'll go over some ways to speed up analyses using integration with C++ and parallelization. Then he gets into the fun part with some very cool ways to create graphics and documents that are easy to disseminate (and publish).

Installation:

Open up R and type:

install.packages(c("Rcpp","multicore","knitr","shiny"))