Chemometrics with R : multivariate data analysis in the natural sciences and life sciences
"Chemometrics with R" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the a...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2011.
Cham : Springer Nature |
| Collection: | Use R!
|
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Chemometrics with R, multivariate data analysis in the natural sciences and life sciences, Ron Wehrens, Berlin, Springer, 2011, 1 vol. (XIV-285 p.), Use R!, 978-3-642-17840-5 • Chemometrics with R, Texte imprimé, 9783642178429 |
Table des matières:
- Introduction
- Part I Preliminaries: Data
- Preprocessing
- Part II Exploratory Analysis: Principal Component Analysis
- Self-Organizing Maps
- Clustering
- Part III Modelling: Classification
- Multivariate Regression
- Part IV Model Inspection: Validation
- Variable Selection
- Part V Applications: Chemometric
- Part VI Appendices: R packages Used in This Book
- References
- Index.