The class starts with the very basics such as variable types, vectors, data.frames and matrices. After that we explore munging data with aggregate, plyr and reshape2. Once the data is prepared we will use ggplot2 to visualize it and then fit models using lm, glm and decision trees.
Most of the material comes from my upcoming book R for Everyone.
Jared Lander is the Chief Data Scientist of Lander Analytics a New York data science firm, Adjunct Professor at Columbia University, Organizer of the New York Open Statistical Programming meetup and the New York and Washington DC R Conferences and author of R for Everyone.