Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / by Ron Wehrens.
Wehrens, Ron. author.
2020
QA276-280
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Title Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / by Ron Wehrens.
Author Wehrens, Ron. author.
Edition 2nd ed. 2020.
ISBN 3662620278
9783662620274
9783662620267
DOI https://doi.org/10.1007/978-3-662-62027-4
https://doi.org/10.1007/978-3-662-62
Published Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020.
Language English
Description 1 online resource (xvi, 308 pages) : illustrations.
Item Number 10.1007/978-3-662-62027-4 doi
10.1007/978-3-662-62
Call Number QA276-280
Dewey Decimal Classification 519.5
Summary This book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection). It also includes a special section discussing several more specific topics in the area of chemometrics, such as outlier detection, and biomarker identification. The corresponding R code is provided for all the examples in the book; and scripts, functions and data are available in a separate R package. This second revised edition features not only updates on many of the topics covered, but also several sections of new material (e.g., on handling missing values in PCA, multivariate process monitoring and batch correction). .
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Series Use R!, 2197-5736
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Introduction.
Data
Preprocessing
Principal Component Analysis
Self-Organizing Maps.
Clustering
Classification
Multivariate Regression.
Validation
Variable Selection
Chemometric Applications.

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