This week we will be going through some of the basic mechanics of analyzing your data in R. We'll cover the basics of the language, inputting/outputting data, subsetting data, and how to get help in R. We'll also offer a demonstration of some of the data manipulation tricks that we have found useful.
Background Materials:
Installation and Basics (R code)
Course Materials:
Introduction to R Programming (Lecture)
collections.csv (Data File for Demo)
data_manip.R (R code for Demo)
Resources:
John Chambers Recounts the History of S and R (Video)
Practical Data Management for Bug Counters (great blog on data carpentry)
