Reading for R

Overview

Beginner's Guide to R

Data Manipulation with R

There are lots of good resources for R. The reading we will be using for this class is largely based on selections from the concise ``Beginner's Guide to R'', by Zuur et al. Fortunately, Wellesley's library has access to an e-book version of this and other books. For simplicity, I have included links to local PDF copies of most chapters, which you can access from on campus.

The link to the complete book hosted by the publisher is here.

For your convenience, here are links to PDFs of relevant book chapters(available only on campus):

Chapter 2: Getting Data into R
Chapter 3: Accessing Variables and Managing Subsets of Data
Chapter 4: Simple Functions
Chapter 5: Introduction to Basic Plotting Tools
Chapter 6: Loops and Functions
Chapter 7: Graphing Tools
Chapter 9: Common R Mistakes

CS349B: Quantifying the World

Wellesley College, Spring 2012

Instructor: Tyler Moore

Course Info

This book goes into greater detail into many of the subtleties of working in data in R. I found Chapters 4, 5, and 8 to be particularly helpful. The link to the complete book hosted by the publisher is here

Chapter 1: Data in R
Chapter 2: Reading and Writing Data
Chapter 4: Dates
Chapter 5: Factors
Chapter 6: Subscripting
Chapter 7: Character Manipulation
Chapter 8: Data Aggregation
Chapter 9: Reshaping Data