Data Analysis and Graphics Using R

An Example-based Approach

John Maindonald, John Braun - Collection Cambridge series in statistical and probabilistic mathematics

516 pages, parution le 12/03/2007 (2^eme édition)

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Résumé

Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.

Practical, hands-on, example-based approach deals with real-world issues
Extensive use of graphs for exploration of data and interpretation of analyses
R code, data sets, updates and exercise solutions, all provided on companion website

Sommaire

A brief introduction to R
Styles of data analysis
Statistical models
An introduction to formal inference
Regression with a single predictor
Multiple linear regression
Exploiting the linear model framework
Generalized linear models and survival analysis
Time series models
Multi-level models and repeated measures
Tree-based classification and regression
Multivariate data exploration and discrimination
Regression on principal component or discriminant scores
The R system - additional topics
Epilogue - models
References
Index of R symbols and functions
Index of terms
Index of names.

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	John Maindonald, John Braun
Collection	Cambridge series in statistical and probabilistic mathematics
Parution	12/03/2007
Édition	2^eme édition
Nb. de pages	516
Format	18,5 x 26
Couverture	Relié
Poids	1078g
Intérieur	Noir et Blanc
EAN13	9780521861168
ISBN13	978-0-521-86116-8