A First Course in Statistical Programming with R
This is the only introduction you’ll need to start programming in R, the open-
source language that is free to download, and lets you adapt the source code
for your own requirements. Co-written by one of the R core development
team, and by an established R author, this book comes with real R code
that complies with the standards of the language.
Unlike other introductory books on the ground-breaking R system, this
book emphasizes programming, including the principles that apply to most
computing languages, and the techniques used to develop more complex
projects. Learning the language is made easier by the frequent exercises
within chapters which enable you to progress conf idently through the
book. More substantial exercises at the ends of chapters help to test your
understanding.
Solutions, datasets, and any errata will be available from the book’s website.
W. John Braun is an Associate Professor in the Department of Statistical
and Actuarial Sciences at the University of Western Ontario. He is also a
co-author, with John Maindonald, of Data Analysis and Graphics Using R.
Duncan J. Murdoch is an Associate Professor in the Department of
Statistical and Actuarial Sciences at the University of Western Ontario.
He was columnist and column editor of the statistical computing column
of Chance during 1999–2000.
