Data Analysis and Graphics Using R.pdf

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Data Analysis and Graphics Using R, Third Edition

Discover what you can do with R! Introducing the R system, covering standard regression

methods, then tackling more advanced topics, this book guides users through the practical,

powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical

display, and interpretation of data. The many worked examples, from real-world research,

are accompanied by commentary on what is done and why. The companion website has code

and data sets, allowing readers to reproduce all analyses, along with solutions to selected

exercises and updates. Assuming basic statistical knowledge and some experience with

data analysis (but not R), the book is ideal for research scientists, ﬁnal-year undergraduate

or graduate-level students of applied statistics, and practicing statisticians. It is both for

learning and for reference.

This third edition takes into account recent changes in R, including advances in graph-

ical user interfaces (GUIs) and graphics packages. The treatments of the random forests

methodology and one-way analysis have been extended. Both text and code have been

revised throughout, and where possible simpliﬁed. New graphs and examples have been

added.

JOHN MAINDONALD is Visiting Fellow at the Mathematical Sciences Institute at the

Australian National University. He has collaborated extensively with scientists in a wide

range of application areas, frommedicine and public health to population genetics, machine

learning, economic history, and forensic linguistics.

W. JOHN BRAUN is Professor in the Department of Statistical and Actuarial Sciences

at the University of Western Ontario. He has collaborated with biostatisticians, biolo-

gists, psychologists, and most recently has become involved with a network of forestry

researchers.

Data Analysis and Graphics

Using R – an Example-Based Approach

Third Edition