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Chemometrics with R [electronic resource] : Multivariate Data Analysis in the Natural Sciences and Life Sciences / by Ron Wehrens.

By: Wehrens, Ron [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Use R: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XIV, 285p. 99 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642178412.Subject(s): Life sciences | Chemistry | Bioinformatics | Biology -- Data processing | Statistics | Life Sciences | Bioinformatics | Computer Applications in Chemistry | Statistics for Life Sciences, Medicine, Health Sciences | Computer Appl. in Life SciencesDDC classification: 570.285 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: "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.
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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.

"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.

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