Chemometrics with R : multivariate data analysis in the natural sciences and life sciences

Auteur :
Wehrens Ron
Publication :
Berlin, Heidelberg : Springer Berlin Heidelberg : Springer e-books, 2011
Collection :
Use R
Mathematics and Statistics
Note :
Numerisation de l'édition de : New York : Springer Science+Business Media, LLC et Springer e-books, 2011
Bibliogr. Index
Résumé :
"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
Contenu :
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
Disponible en ligne
Langue :
Type de document :
Ressource électronique
Thèmes :
R (logiciel)
Life sciences
Biology, Data processing
Life Sciences
Computer Applications in Chemistry
Statistics for Life Sciences, Medicine, Health Sciences
Computer Appl. in Life Sciences