Learning Base R, Second Edition

R is an open-source programming language that has become the software tool of choice in statistics and data science. R has flexible data structures for organizing and storing data, graphical tools for generating statistical graphics, and sophisticated data analysis procedures for statistical inference.

Learning Base R provides an introduction to the language for those with or without prior programming experience. It introduces the key topics that you will need to begin analyzing data and programming in R. The focus here is on the R language rather than a particular application. The text contains over 400 exercises to assess your R skills.

Lawrence Leemis, Ph.D., is a professor in the Department of Mathematicsat William & Mary. He has written eight books, published over 100journal articles, book chapters, and proceedings papers, and won 12teaching awards. He has consulted for several dozen government, corporate, and non-profit entities.