基本説明
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.
Full Description
"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.
Contents
Introduction.- Part I PreliminariesExploratory 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.
