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Chemometrics with R [[electronic resource] ] : Multivariate Data Analysis in the Natural and Life Sciences / / by Ron Wehrens



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Autore: Wehrens Ron Visualizza persona
Titolo: Chemometrics with R [[electronic resource] ] : Multivariate Data Analysis in the Natural and Life Sciences / / by Ron Wehrens Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2020
Edizione: 2nd ed. 2020.
Descrizione fisica: 1 online resource (XVI, 308 p. 111 illus., 82 illus. in color.)
Disciplina: 543.015195
Soggetto topico: Statistics 
Chemoinformatics
Bioinformatics
R (Computer program language)
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
Nota di contenuto: Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.
Sommario/riassunto: 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). .
Titolo autorizzato: Chemometrics with R  Visualizza cluster
ISBN: 3-662-62027-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996418252603316
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Serie: Use R!, . 2197-5736