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The R Software

Fundamentals of Programming and Statistical Analysis

  • Pierre Lafaye de Micheaux
  • Rémy Drouilhet
  • Benoit Liquet

Part of the Statistics and Computing book series (SCO, volume 40)

Table of contents

  1. Front Matter
    Pages i-xxxvii
  2. Preliminaries

    1. Front Matter
      Pages 1-1
    2. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 3-27
    3. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 29-33
  3. The Bases of R

    1. Front Matter
      Pages 35-35
    2. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 37-61
    3. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 63-83
    4. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 85-140
    5. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 141-150
    6. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 151-192
    7. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 193-282
    8. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 283-309
  4. Elementary Mathematics and Statistics

    1. Front Matter
      Pages 311-311
    2. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 313-337
    3. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 339-380
    4. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 381-415
    5. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 417-453
    6. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 455-501
    7. Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
      Pages 503-530
  5. Back Matter
    Pages 531-628

About this book

Introduction

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 object 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.

Keywords

ANOVA Descriptive statistics Hypothesis testing R R software Simulations Statistics

Authors and affiliations

  • Pierre Lafaye de Micheaux
    • 1
  • Rémy Drouilhet
    • 2
  • Benoit Liquet
    • 3
  1. 1.School of Mathematics and PhysicsThe University of QueenslandSt LuciaAustralia
  2. 2.B.S.H.M.GrenobleFrance
  3. 3.School of Mathematics and PhysicsSchool of Mathematics and Physics, The University of QueenslandBrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-9020-3
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-9019-7
  • Online ISBN 978-1-4614-9020-3
  • Series Print ISSN 1431-8784
  • Series Online ISSN 2197-1706
  • Buy this book on publisher's site