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Chemometrics with R = multivariate d...

Wehrens, Ron.

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Chemometrics with R = multivariate data analysis in the natural and life sciences /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Chemometrics with R/ by Ron Wehrens.
Reminder of title:	multivariate data analysis in the natural and life sciences /
Author:	Wehrens, Ron.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2020.,
Description:	xvi, 308 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.
Contained By:	Springer Nature eBook
Subject:	Chemometrics. -
Online resource:	https://doi.org/10.1007/978-3-662-62027-4
ISBN:	9783662620274

Chemometrics with R = multivariate data analysis in the natural and life sciences /
Wehrens, Ron.

Chemometrics with Rmultivariate data analysis in the natural and life sciences /[electronic resource] :by Ron Wehrens. - Second edition. - Berlin, Heidelberg :Springer Berlin Heidelberg :2020. - xvi, 308 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!..

Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.

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)

ISBN: 9783662620274

Standard No.: 10.1007/978-3-662-62027-4doiSubjects--Topical Terms:

813967
Chemometrics.

LC Class. No.: QD75.4.C45 / W44 2020

Dewey Class. No.: 519.5

Chemometrics with R = multivariate data analysis in the natural and life sciences /
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100 1 $a Wehrens, Ron. $3 1532426
245 1 0 $a Chemometrics with R $h [electronic resource] : $b multivariate data analysis in the natural and life sciences / $c by Ron Wehrens.
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260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2020.
300 $a xvi, 308 p. : $b ill., digital ; $c 24 cm.
490 1 $a Use R!, $x 2197-5736
505 0 $a Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.
520 $a 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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650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Computer Applications in Chemistry. $3 891338
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950 $a Mathematics and Statistics (SpringerNature-11649)