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Chemometrics with R

Multivariate Data Analysis in the Natural Sciences and Life Sciences

  • Ron Wehrens

Part of the Use R book series (USE R)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Ron Wehrens
    Pages 1-4
  3. Preliminaries

    1. Front Matter
      Pages 5-5
    2. Ron Wehrens
      Pages 7-12
    3. Ron Wehrens
      Pages 13-39
  4. Exploratory Analysis

    1. Front Matter
      Pages 41-41
    2. Ron Wehrens
      Pages 43-66
    3. Ron Wehrens
      Pages 67-78
    4. Ron Wehrens
      Pages 79-99
  5. Modelling

    1. Front Matter
      Pages 101-101
    2. Ron Wehrens
      Pages 103-144
    3. Ron Wehrens
      Pages 145-172
  6. Model Inspection

    1. Front Matter
      Pages 173-173
    2. Ron Wehrens
      Pages 175-204
    3. Ron Wehrens
      Pages 205-232
  7. Applications

    1. Front Matter
      Pages 233-233
    2. Ron Wehrens
      Pages 235-267
  8. Back Matter
    Pages 269-285

About this book

Introduction

"Chemometrics with R" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book; scripts, functions and data are available in a separate, publicly available R package. For researchers working in the life sciences, the book can also serve as an easy-to-use primer on R.

Keywords

Bioinformatics Chemometrics Multivariate statistics R software

Authors and affiliations

  • Ron Wehrens
    • 1
  1. 1., Research and Innovation CentreFondazione Edmund MachSan Michele all'AdigeItaly

Bibliographic information