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Book Cover
E-book
Author Wehrens, Ron. author.

Title Chemometrics with R Multivariate Data Analysis in the Natural and Life Sciences / by Ron Wehrens
Edition 2nd edition / 2020
Published Berlin : Springer-Verlag GmbH Germany : Imprint: Springer, [2020]
©2020

Copies

Description 1 online resource (xvi, 308 pages : 111 illustrations, 82 in color)
Series Use R!, 2197-5736
Use R!, 2197-5736
Contents Introduction. -- Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. -- Clustering -- Classification -- Multivariate Regression. -- Validation -- Variable Selection -- Chemometric Applications
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 Includes bibliographical references and index
Notes Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. WlAbNL
Subject Statistics.
Cheminformatics.
Multivariate analysis.
Bioinformatics.
Cheminformatics
Multivariate Analysis
Computational Biology
statistics.
Informática-Aplicaciones en química
Análisis estadístico multivariable
Statistics
Cheminformatics
Bioinformatics
Chemometrics
R (Computer program language)
Form Electronic book
ISBN 3662620278
9783662620274