The R Book

Michael J. Crawley

950 pages, parution le 15/04/2007

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Résumé

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.

Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.

Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities.
Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test.
Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more.

The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

L'auteur - Michael J. Crawley

Michael Crawley is Professor at Imperial College at Silwood Park. He is a fellow of the Royal Society and author of the bestselling titles Statistics: An Introduction using R and Statistical Computing: An Introduction to Data Analysis Using S-Plus.

Sommaire

Getting Started
Essentials of the R Language
Data Input
Dataframes
Graphics
Tables
Mathematics
Classical Tests
Statistical Modelling
Regression
Analysis of Variance
Analysis of Covariance
Generalized Linear Models
Count Data
Count Data in Tables
Proportion Data
Binary Response Variables
Generalized Additive Models
Mixed-Effects Models
Non-linear Regression
Tree Models
Time Series Analysis
Multivariate Statistics
Spatial Statistics
Survival Analysis
Simulation Models
Changing the look of graphics
References and Further Reading

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Michael J. Crawley
Parution	15/04/2007
Nb. de pages	950
Couverture	Relié
Intérieur	Noir et Blanc
EAN13	9780470510247
ISBN13	978-0-470-51024-7