Introductory Statistics with R.pdf

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Statistics and Computing
Series Editors:
J. Chambers
D. Hand
W. H ardle
Statistics and Computing
Brusco/Stahl: Branch and Bound Applications in Combinatorial
Data Analysis
Chambers: Software for Data Analysis: Programming with R
Dalgaard: Introductory Statistics with R , 2nd ed.
Gentle: Elements of Computational Statistics
Gentle: Numerical Linear Algebra for Applications in Statistics
Gentle: Random Number Generation and Monte
Carlo Methods, 2nd ed.
Hardle/Klinke/Turlach: XploRe: An Interactive Statistical
Computing Environment
Hormann/Leydold/Derflinger: Automatic Nonuniform Random
Variate Generation
Krause/Olson: The Basics of S-PLUS, 4th ed.
Lange: Numerical Analysis for Statisticians
Lemmon/Schafer: Developing Statistical Software in Fortran 95
Loader: Local Regression and Likelihood
Marasinghe/Kennedy: SAS for Data Analysis: Intermediate
Statistical Methods
O Ruanaidh/Fitzgerald: Numerical Bayesian Methods Applied to
Signal Processing
Pannatier: VARIOWIN: Software for Spatial Data Analysis in 2D
Pinheiro/Bates: Mixed-Effects Models in S and S-PLUS
Unwin/Theus/Hofmann: Graphics of Large Datasets:
Visualizing a Million
Venables/Ripley: Modern Applied Statistics with S, 4th ed.
Venables/Ripley: S Programming
Wilkinson: The Grammar of Graphics, 2nd ed.
Peter Dalgaard
Introductory Statistics with R
Second Edition
123
Peter Dalgaard
Department of Biostatistics
University of Copenhagen
Denmark
p.dalgaard@biostat.ku.dk
ISSN: 1431-8784
ISBN: 978-0-387-79053-4
e-ISBN: 978-0-387-79054-1
DOI: 10.1007/978-0-387-79054-1
Library of Congress Control Number: 2008932040
2008 Springer Science+Business Media, LLC
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