This accessible primer on multivariate statistics in the life sciences gives a full description of the general data analysis paradigm, from exploratory analysis to modeling to validation; covers other aspects of chemometrics; and supplies the relevant R code.
"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.
Inhaltsverzeichnis
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.- Part VI Appendices: R packages Used in This Book.- References.- Index.
