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).

Slides

Docs and scripts

Installation:

Open up R and type:

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