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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 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Chemometrics with R/ by Ron Wehrens.
其他題名:
multivariate data analysis in the natural and life sciences /
作者:
Wehrens, Ron.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2020.,
面頁冊數:
xvi, 308 p. :ill., digital ;24 cm.
內容註:
Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.
Contained By:
Springer Nature eBook
標題:
Chemometrics. -
電子資源:
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 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
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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