03704nam 22006375 450 99641825260331620220627162125.03-662-62027-810.1007/978-3-662-62027-4(CKB)4100000011392446(DE-He213)978-3-662-62027-4(MiAaPQ)EBC6313931(PPN)250212188(EXLCZ)99410000001139244620200820d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierChemometrics with R[electronic resource] Multivariate Data Analysis in the Natural and Life Sciences /by Ron Wehrens2nd ed. 2020.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2020.1 online resource (XVI, 308 p. 111 illus., 82 illus. in color.)Use R!,2197-57363-662-62026-X 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). .Use R!,2197-5736Statistics ChemoinformaticsBioinformaticsR (Computer program language)Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Statistical Theory and Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/S11001Computer Applications in Chemistryhttps://scigraph.springernature.com/ontologies/product-market-codes/C13009Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15001Statistics .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.Bioinformatics.543.015195Wehrens Ronauthttp://id.loc.gov/vocabulary/relators/aut475506MiAaPQMiAaPQMiAaPQBOOK996418252603316Chemometrics with R248339UNISA