TY  - BOOK
AU  - Wehrens,Ron
ED  - SpringerLink (Online service)
TI  - Chemometrics with R: Multivariate Data Analysis in the Natural and Life Sciences 
T2  - Use R!,
SN  - 9783662620274
AV  - QA276-280 
U1  - 519.5 23
PY  - 2020///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Statistics 
KW  - Chemoinformatics
KW  - Bioinformatics
KW  - Statistics for Life Sciences, Medicine, Health Sciences
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Statistical Theory and Methods
KW  - Computer Applications in Chemistry
N1  - Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications
N2  - 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).
UR  - https://doi.org/10.1007/978-3-662-62027-4
ER  -