Description: 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).
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EAN: 9783662620267
UPC: 9783662620267
ISBN: 9783662620267
MPN: N/A
Book Title: Chemometrics with R: Multivariate Data Analysis in
Item Length: 23.4 cm
Item Height: 235 mm
Item Width: 155 mm
Series: Use R!
Author: Ron Wehrens
Publication Name: Chemometrics with R: Multivariate Data Analysis in the Natural and Life Sciences
Format: Paperback
Language: English
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Subject: Chemistry, Biology, Mathematics, Healthcare System
Publication Year: 2020
Type: Textbook
Item Weight: 498 g
Number of Pages: 308 Pages
