Author: Peter Dalgaard
Edition: 2nd
Binding: Paperback
ISBN: 0387790535
Publisher: Springer
Edition: 2nd
Binding: Paperback
ISBN: 0387790535
Publisher: Springer
Introductory Statistics With R
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. Introductory Statistics with R
by Peter Dalgaard - Springer (2009) - Paperback - ISBN 0387790535 9780387790534
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, Download free Introductory Statistics with R (Statistics and Computing) from rapidshare, mediafire, 4shared
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 Search and find a lot of computer books in many category availabe for free download
he 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,
