Chemometrics with R Multivariate Data Analysis in the Natural Sciences and Life Sciences

About this book

This book 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.

Contents

Introduction

Part I Preliminaries
- Data Preprocessing

Part II Exploratory Analysis
- Principal Component Analysis
- Self-Organizing Maps
- Clustering

Part III Modelling
- Classification
- Multivariate Regression

Part IV Model Inspection
- Validation
- Variable Selection

Part V Applications
- Chemometric Applications

Part VI Appendices
- R packages Used in This Book

References
Index

Customer Reviews

Biography

Ron Wehrens (1966) obtained a PhD in Chemometrics at the Radboud University Nijmegen, The Netherlands. He was a lecturer in Analytical Chemistry at the University of Twente, and later an associated professor at the Radboud University Nijmegen. Since January 2010, he is group leader in Biostatistics and Data Analysis at the Fondazione Edmund Mach in San Michele all'Adige, Italy.