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Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / by Ron Wehrens
(Use R!. ISSN:21975744)
版 | 2nd ed. 2020. |
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出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
出版年 | 2020 |
本文言語 | 英語 |
大きさ | XVI, 308 p. 111 illus., 82 illus. in color : online resource |
著者標目 | *Wehrens, Ron author SpringerLink (Online service) |
件 名 | LCSH:Biometry LCSH:Statistics LCSH:Chemistry -- Data processing 全ての件名で検索 LCSH:Bioinformatics FREE:Biostatistics FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Statistical Theory and Methods FREE:Computational Chemistry FREE:Bioinformatics |
一般注記 | 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). HTTP:URL=https://doi.org/10.1007/978-3-662-62027-4 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783662620274 |
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EB00239126 |
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