Graphics for Statistics and Data Analysis with R

This text presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. The author emphasizes the fundamentals of statistical graphics and describes the strengths and weaknesses of each graphical display. He also presents technical theoretical details on topics such as the estimation of quantiles, kernel density estimation, locally weighted polynomial regression, and splines. The book includes examples of real-world data, end-of-chapter exercises, and many illustrations, with some in color. R code is available for download on the book’s website.
• Chapman & Hall/CRC Texts in Statistical Science
Statistics & Computing
Statistical Theory & Methods
Mathematics & Statistics for Engineers
Textbook
Professional