| 书目名称 | Chemometrics with R | | 副标题 | Multivariate Data An | | 编辑 | Ron Wehrens | | 视频video | http://file.papertrans.cn/225/224926/224926.mp4 | | 概述 | Presents an easy, non-mathematical approach to multivariate statistics in the life sciences.Illustrated with examples that are fully reproducible.Provides the R codes discussed in the text | | 丛书名称 | Use R! | | 图书封面 |  | | 描述 | .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)... . | | 出版日期 | Book 2020Latest edition | | 关键词 | Multivariate statistics; Clustering; Principal Component Analysis; R software; Variable Selection; Linear | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-662-62027-4 | | isbn_softcover | 978-3-662-62026-7 | | isbn_ebook | 978-3-662-62027-4Series ISSN 2197-5736 Series E-ISSN 2197-5744 | | issn_series | 2197-5736 | | copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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