Introductory Statistics with R,9780387790534

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Introductory Statistics with R

by Dalgaard, Peter

Edition:

2nd

ISBN13:

9780387790534

ISBN10:

0387790535

Format:

Paperback

Pub. Date:

7/25/2008

Publisher(s):

Textstream

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Summary

"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. A supplementary R package can be downloaded and contains the data sets." "The statistical methodology 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 six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression."--BOOK JACKET.

Author Biography

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

Basics	p. 1
The R environment	p. 31
Probability and distributions	p. 55
Descriptive statistics and graphics	p. 67
One- and two-sample tests	p. 95
Regression and correlation	p. 109
Analysis of variance and the Kruskal-Wallis test	p. 127
Tabular data	p. 145
Power and the computation of sample size	p. 155
Advanced data handling	p. 163
Multiple regression	p. 185
Linear models	p. 195
Logistic regression	p. 227
Survival analysis	p. 249
Rates and Poisson regression	p. 259
Nonlinear curve fitting	p. 275
Obtaining and installing R and the ISwR package	p. 289
Data sets in the ISwR package	p. 293
Compendium	p. 325
Answers to exercises	p. 337
Bibliography	p. 355
Index	p. 357
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