The contents of The R Software are presented so as to be both comprehensive and easy for the
reader to use. Besides its application as a self-learning text, this book can support lectures
on R at any level from beginner to advanced. This book can serve as a textbook on R for
beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The
first part of the book deals with the heart of the R language and its fundamental concepts,
including data organization, import and export, various manipulations, documentation,
plots, programming and maintenance. The last chapter in this part deals with oriented ob-
ject programming as well as interfacing R with C/C++ or Fortran, and contains a section
on debugging techniques. This is followed by the second part of the book, which provides
detailed explanations on how to perform many standard statistical analyses, mainly in the
Biostatistics field. Topics from mathematical and statistical settings that are included are
matrix operations, integration, optimization, descriptive statistics, simulations, confidence
intervals and hypothesis testing, simple and multiple linear regression, and analysis of
variance. Each statistical chapter in the second part relies on one or more real biomedical
data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé
Publique, d'épidémiologie et de Développement - ISPED) and described at the beginning of
the book. Each chapter ends with an assessment section: memorandum of most important
terms, followed by a section of theoretical exercises (to be done on paper), which can be used
as questions for a test. Moreover, worksheets enable the reader to check his new abilities in
R. Solutions to all exercises and worksheets are included in this book.