Introductory Statistics with R (Statistics and Computing)

Dalgaard, Peter

ISBN 10: 0387790535 / ISBN 13: 9780387790534

Published by Springer, 2008

About this Item

2nd Edition (2008.) Paperback, 8vo with 363 pages. The book is in very good condition very slight shelf wear. Interior clean and tight, No markings. No online access or CD-ROM or digital access codes if applicable! "I have used R for about 10 years now for my research and I always turn back to this for reminder on the small (but very important) things I always seems to forget." Blue-Yellow spine/ Blue text. Size: 8vo.

Seller Inventory # 033044

Bibliographic Details

• Title: Introductory Statistics with R (Statistics and Computing)
• Publisher: Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 0387790535
• ISBN 13: 9780387790534
• Binding: Paperback
• Edition: 2nd Edition.
• Condition: Very Good
• Book Type: Bioinformatics /Statistical

About this title

Synopsis

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. 

All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

About the Author

Peter Dalgaard is associate professor at the Biostatistical Department at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Team since August 1997 and is well known among R users.