Introductory Statistics with R

Peter Dalgaard - Collection Statistics and Computing

268 pages, parution le 13/09/2002

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Résumé

R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be freely downloaded. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.

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, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

L'auteur - Peter Dalgaard

Peter Dalgaard is associate professor at the Biostatistical Department at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Team since August 1997 and is well known among R users for his activity on the R mailing lists.

Sommaire

Preface
Basics
Probability and distributions
Descriptive statistics and graphics
One- and two-sample tests
Regression and correlation
ANOVA and Kruskal-Wallis
Tabular data
Power and the computation of sample size
Multiple regression
Linear models
Logistic regression
Survival analysis
A: Obtaining and installing R
B: Data sets in the IswR package
C: Compendium
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Peter Dalgaard
Collection	Statistics and Computing
Parution	13/09/2002
Nb. de pages	268
Format	15,5 x 23,5
Couverture	Broché
Poids	405g
Intérieur	Noir et Blanc
EAN13	9780387954752
ISBN13	978-0-387-95475-2