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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 es with real R code
plies 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 plex
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 puting column
of Chance during 1999–2000.
A First Course in
Statistical Programming
with R
W. John Braun and Duncan J. Murdoch
CAMBRIDGE UNIVERSITY PRESS
Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo
Cambridge University Press
The Edinburgh Building, Cambridge CB2 8RU, UK
Published in the United States of America by Cambridge University Press, New York
Information on this title: 0521872652
© W. John Braun and Duncan J. Murdoch 2007
This publication is in copyright. Subject to statutory exception and to the
provision of relevant collective licensing agreements, no reproduction of any part
may take p