Introductory statistics with R / Peter Dalgaard.
"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 statis...
Saved in:
Main Author: | |
---|---|
Format: | Ebook |
Language: | English |
Published: |
New York :
Springer,
[2008]
|
Edition: | Second edition. |
Series: | Statistics and computing.
|
Subjects: | |
Online Access: | Springer eBooks |
Summary: | "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."--Publisher's website. |
---|---|
Physical Description: | 1 online resource (xvi, 363 pages) : illustrations. |
Format: | Mode of access: World Wide Web. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 0387790543 1282037838 9780387790541 9781282037830 |