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Chemometrics with Rmultivariate data...
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Chemometrics with Rmultivariate data analysis in the natural and life sciences /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Chemometrics with Rby 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.
Contained By:
Springer Nature eBook
Subject:
Chemometrics.
Online resource:
https://doi.org/10.1007/978-3-662-62027-4
ISBN:
9783662620274$q(electronic bk.)
Chemometrics with Rmultivariate data analysis in the natural and life sciences /
Wehrens, Ron.
Chemometrics with R
multivariate data analysis in the natural and life sciences /[electronic resource] :by Ron Wehrens. - Second edition. - Berlin, Heidelberg :Springer Berlin Heidelberg :2020. - xvi, 308 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!..
Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.
This book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection) It also includes a special section discussing several more specific topics in the area of chemometrics, such as outlier detection, and biomarker identification. The corresponding R code is provided for all the examples in the book; and scripts, functions and data are available in a separate R package. This second revised edition features not only updates on many of the topics covered, but also several sections of new material (e.g., on handling missing values in PCA, multivariate process monitoring and batch correction)
ISBN: 9783662620274$q(electronic bk.)
Standard No.: 10.1007/978-3-662-62027-4doiSubjects--Topical Terms:
265647
Chemometrics.
LC Class. No.: QD75.4.C45 / W44 2020
Dewey Class. No.: 519.5
Chemometrics with Rmultivariate data analysis in the natural and life sciences /
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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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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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EB QD75.4.C45 W414 2020 2020
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