Chemometrics with R
Multivariate Data Analysis in the Natural Sciences and Life Sciences
Published on 1. February 2011
Book
Paperback/Softback
XIV, 286 pages
978-3-642-17840-5 (ISBN)
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.
More details
Series
Edition
2011
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Upper undergraduate
Illustrations
1 s/w Tabelle, 99 s/w Abbildungen
1 Tables, black and white; 99 Illustrations, black and white; XIV, 286 p. 99 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
940 gr
ISBN-13
978-3-642-17840-5 (9783642178405)
DOI
10.1007/978-3-642-17841-2
Schweitzer Classification
Other editions
New editions
Book
08/2020
2nd Edition
Springer
€69.54
Shipment within 7-9 days
Additional editions
E-Book
01/2011
1st Edition
Springer
€96.29
Available for download
Person
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.
Content
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.