Chemometrics with R

Multivariate Data Analysis in the Natural and Life Sciences de

Éditeur :

Springer


Collection :

Use R!

Paru le : 2020-08-20

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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).
 
Pages
308 pages
Collection
Use R!
Parution
2020-08-20
Marque
Springer
EAN papier
9783662620267
EAN PDF
9783662620274

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
8653 Ko
Prix
68,56 €
EAN EPUB
9783662620274

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
15985 Ko
Prix
68,56 €