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Introductory Statistics with R
by Dalgaard, PeterEdition:
2nd
ISBN13:
9780387790534
ISBN10:
0387790535
Format:
Paperback
Pub. Date:
7/25/2008
Publisher(s):
Textstream
List Price: $64.95
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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
Table of Contents
| 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 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
