Chemometrics with R: Multivariate Data Analysis in the Natural and Life Sciences (Use R!) - Softcover

Wehrens, Ron

 
9783662620267: Chemometrics with R: Multivariate Data Analysis in the Natural and Life Sciences (Use R!)
Softcover
ISBN 10: 366262026X ISBN 13: 9783662620267
Verlag: Springer, 2020

Inhaltsangabe

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).

 

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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).

 

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Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
366262026X
ISBN 13 
9783662620267
Einband
Taschenbuch
Auflage
2
Anzahl der Seiten
324
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
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Deutschland