Overview
- Presents an easy, non-mathematical approach to multivariate statistics in the life sciences
- Illustrated with examples that are fully reproducible
- Provides the R codes discussed in the text
Part of the book series: Use R! (USE R)
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Table of contents (11 chapters)
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Front Matter
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Preliminaries
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Front Matter
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Exploratory Analysis
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Front Matter
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Modelling
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Front Matter
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Model Inspection
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Front Matter
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Applications
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Front Matter
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Back Matter
Keywords
- Multivariate statistics
- Clustering
- Principal Component Analysis
- R software
- Variable Selection
- Linear Regression
- Non-Linear regression
- Boootstrap
- Multidimensional Scaling
- Partial least squares regression
- time warping
- support vector machines
- neural networks
- missing values
- statistical process control
- multivariate curve resolution
About this book
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).
Authors and Affiliations
About the author
Ron Wehrens (1966) holds a PhD in Chemometrics from Radboud University Nijmegen, the Netherlands. He was a lecturer in Analytical Chemistry at the University of Twente, and later an Associate Professor at the Radboud University Nijmegen. From 2010 to 2014 he was group leader in Biostatistics and Data Analysis at the Fondazione Edmund Mach in San Michele all'Adige, Italy. Currently he holds a position at Wageningen University & Research, the Netherlands.
Bibliographic Information
Book Title: Chemometrics with R
Book Subtitle: Multivariate Data Analysis in the Natural and Life Sciences
Authors: Ron Wehrens
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-662-62027-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2020
Softcover ISBN: 978-3-662-62026-7Published: 21 August 2020
eBook ISBN: 978-3-662-62027-4Published: 20 August 2020
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 2
Number of Pages: XVI, 308
Number of Illustrations: 29 b/w illustrations, 82 illustrations in colour
Additional Information: Originally Published by Springer-Verlag GmbH, DE 2011.
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistical Theory and Methods, Computer Applications in Chemistry, Bioinformatics