R for statistics / Pierre-André Cornillon ... [et al.].
Contributor(s): Cornillon, Pierre-Andre.
Material type: TextPublisher: Boca Raton : CRC Press, 2012Description: p. cm.ISBN: 9781439881453 (pbk.).Uniform titles: Statistiques avec R. English. Subject(s): R (Computer program language) | Mathematical statistics -- Data processing | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 519.502855133 Other classification: MAT029000 Summary: "Foreword This book is the English adaptation of the second edition of the book \Statistiques avec R" which was published in 2008 and was a great success in the French-speaking world. In this version, a number of worked examples have been supplemented and new examples have been added. We hope that readers will enjoy using this book for reference when working with R. This book is aimed at statisticians in the widest sense, that is to say, all those working with datasets: science students, biologists, economists, etc. All statistical studies depend on vast quantities of information, and computerised tools are therefore becoming more and more essential. There are currently a wide variety of software packages which meet these requirements. Here we have opted for R, which has the triple advantage of being free, comprehensive, and its use is booming. However, no prior experience of the software is required. This work aims to be accessible and useful both for novices and experts alike. This book is organised into two main sections: the rst part focuses on the R software and the way it works, and the second on the implementation of traditional statistical methods with R. In order to render them as independent as possible, a brief chapter o ers extra help getting started (chapter 5, a Quick Start with R) and acts as a transition: it will help those readers who are more interested in statistics than in software to be operational more quickly"--Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books |
Prof. G. K. Chadha Library
South Asian University |
519.502855133 R1113 (Browse shelf) | Available | BK00003586 |
Browsing Prof. G. K. Chadha Library Shelves , Shelving location: General Stacks Close shelf browser
519.502462 A989p Probability, statistics, and reliability for engineers and scientists / | 519.50285 F4531d Discovering statistics using SAS : | 519.50285 G3386c Computational statistics / | 519.502855133 R1113 R for statistics / | 519.535 D2322 Data clustering : | 519.536 A2443 Handbook of advanced multilevel analysis / | 519.536 C4954r Handbook of regression analysis / |
Includes bibliographical references and index.
"Foreword This book is the English adaptation of the second edition of the book \Statistiques avec R" which was published in 2008 and was a great success in the French-speaking world. In this version, a number of worked examples have been supplemented and new examples have been added. We hope that readers will enjoy using this book for reference when working with R. This book is aimed at statisticians in the widest sense, that is to say, all those working with datasets: science students, biologists, economists, etc. All statistical studies depend on vast quantities of information, and computerised tools are therefore becoming more and more essential. There are currently a wide variety of software packages which meet these requirements. Here we have opted for R, which has the triple advantage of being free, comprehensive, and its use is booming. However, no prior experience of the software is required. This work aims to be accessible and useful both for novices and experts alike. This book is organised into two main sections: the rst part focuses on the R software and the way it works, and the second on the implementation of traditional statistical methods with R. In order to render them as independent as possible, a brief chapter o ers extra help getting started (chapter 5, a Quick Start with R) and acts as a transition: it will help those readers who are more interested in statistics than in software to be operational more quickly"--