Data analysis and graphics using R. An example-based approach.

Maindonald, John:

ISBN 10: 0521813360 / ISBN 13: 9780521813365

Published by Cambridge, Cambridge University Press, 2010

About this Item

XXVI, 362 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, kaum Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, few traces of use. L06752 9780521813365 Sprache: Englisch Gewicht in Gramm: 1150.

Seller Inventory # 2521334

Bibliographic Details

• Title: Data analysis and graphics using R. An example-based approach.
• Publisher: Cambridge, Cambridge University Press
• Publication Date: 2010
• Language: English
• ISBN 10: 0521813360
• ISBN 13: 9780521813365
• Binding: Hardcover
• Edition: 3rd ed.
• Weight: 1150 grams
• Seller catalogs:
  • AA Varia

About this title

Synopsis

Using modern statistical software systems requires training both in the software itself and in the underlying statistical methods. Concentrating on the freely available R system, this volume demonstrates recently implemented approaches and methods in statistical analysis. The authors introduce elementary concepts in statistics through examples of real-world data analysis drawn from their experience as teachers and as consultants. R code and data sets for all examples are available on the Internet. This emphasis on practical methodology combined with a tutorial approach makes the book accessible to anyone with a knowledge of undergraduate-level statistics. The methods demonstrated are suitable for use in a wide variety of disciplines, from social sciences to medicine, engineering and science.

Book Description

The R system is a powerful statistics system for researchers needing tools for data manipulation and presentation. Concentrating on examples drawn from the authors' teaching and consulting experience, this book is both a tutorial to the R system and an introduction to the underlying statistical methods. Starting with elementary concepts accessible to anyone who has taken a first undergraduate course in statistics the book leads on to more advanced topics of use to practising scientists and researchers as well as students in medicine, science, engineering and the social sciences.