Title:
R for statistics
Author:
Cornillon, Pierre-Andre.
ISBN:
9781439881453
Uniform Title:
Statistiques avec R. English.
Publication Information:
Boca Raton, FL : CRC Press, c2012.
Physical Description:
xiv, 306 p. : ill. ; 24 cm.
General Note:
Formerly CIP.
Contents:
1. Intersection Graphs. Basic Concepts -- Intersection Classes -- Parsimonious Set Representations -- Clique Graphs -- Line Graphs -- Hypergraphs -- 2. Chordal Graphs. Chordal Graphs as Intersection Graphs -- Other Characterizations -- Tree Hypergraphs -- Some Applications of Chordal Graphs -- Split Graphs -- 3. Interval Graphs. Definitions and Characterizations -- Interval Hypergraphs -- Proper Interval Graphs -- Some Applications of Interval Graphs -- 4. Competition Graphs. Neighborhood Graphs -- Competition Graphs -- Interval Competition Graphs -- Upper Bound Graphs -- 5. Threshold Graphs. Definitions and Characterizations -- Threshold Graphs as Intersection Graphs -- Difference Graphs and Ferrers Digraphs -- Some Applications of Threshold Graphs -- 6. Other Kinds of Intersection. p-Intersection Graphs -- Intersection Multigraphs and Pseudographs -- Tolerance Intersection Graphs -- 7. Guide to Related Topics. Assorted Geometric Intersection Graphs -- Bipartite Intersection Graphs, Intersection Digraphs, and Catch (Di)Graphs -- Chordal Bipartite and Weakly Chordal Graphs -- Circle Graphs and Permutation Graphs -- Clique Graphs of Chordal Graphs and Clique-Helly Graphs -- Containment, Comparability, Cocomparability, and Asteroidal Triple-Free Graphs -- Infinite Intersection Graphs -- Miscellaneous Topics -- P4-Free Chordal Graphs and Cographs -- Powers of Intersection Graphs -- Sphere-of-Influence Graphs -- Strongly Chordal Graphs.
Abstract:
"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"--
Added Author: