
Chemometrics with R
Multivariate Data Analysis in the Natural Sciences and Life Sciences
Ron Wehrens(Autor*in)
Springer (Verlag)
Erschienen am 1. Februar 2011
Buch
Softcover
XIV, 286 Seiten
978-3-642-17840-5 (ISBN)
Artikel ist vergriffen; siehe Neuauflage
Beschreibung
"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.
Weitere Details
Reihe
Auflage
2011
Sprache
Englisch
Verlagsort
Berlin
Deutschland
Verlagsgruppe
Springer Berlin
Zielgruppe
Für Beruf und Forschung
Upper undergraduate
Illustrationen
1 s/w Tabelle, 99 s/w Abbildungen
1 Tables, black and white; 99 Illustrations, black and white; XIV, 286 p. 99 illus.
Maße
Höhe: 23.5 cm
Breite: 15.5 cm
Gewicht
940 gr
ISBN-13
978-3-642-17840-5 (9783642178405)
DOI
10.1007/978-3-642-17841-2
Schweitzer Klassifikation
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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.
Inhalt
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.