# Introductory Statistics with R

• Peter Dalgaard
Book

Part of the Statistics and Computing book series (SCO)

1. Front Matter
Pages i-xvi
2. Peter Dalgaard
Pages 1-29
3. Peter Dalgaard
Pages 31-53
4. Peter Dalgaard
Pages 55-65
5. Peter Dalgaard
Pages 67-94
6. Peter Dalgaard
Pages 95-107
7. Peter Dalgaard
Pages 109-125
8. Peter Dalgaard
Pages 127-143
9. Peter Dalgaard
Pages 145-154
10. Peter Dalgaard
Pages 155-162
11. Peter Dalgaard
Pages 163-184
12. Peter Dalgaard
Pages 185-194
13. Peter Dalgaard
Pages 195-225
14. Peter Dalgaard
Pages 227-248
15. Peter Dalgaard
Pages 249-258
16. Peter Dalgaard
Pages 259-274
17. Peter Dalgaard
Pages 275-288
18. Back Matter
Pages 289-364

### Introduction

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use 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. 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.

In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.

Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He has been a member of the R Core Team since 1997.

### Keywords

ANOVA Analysis Analysis of variance Curve fitting Descriptive statistics Fitting Open Source Regression analysis Survival analysis data analysis linear regression statistics

#### Authors and affiliations

• Peter Dalgaard
• 1
1. 1.Dept. BiostatisticsUniversity of CopenhagenKoebenhavn KDenmark

### Bibliographic information

• DOI https://doi.org/10.1007/978-0-387-79054-1