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Focusing on multivariate statistics in the life sciences, this primer provides a comprehensive overview of the data analysis process, including exploratory analysis, modeling, and validation. It also addresses various aspects of chemometrics while offering relevant R code to facilitate practical application. Designed for accessibility, it serves as a valuable resource for those looking to enhance their statistical analysis skills in the context of life sciences.
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Chemometrics with R, Ron Wehrens
- Langue
- Année de publication
- 2020
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- (souple)
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- Titre
- Chemometrics with R
- Sous-titre
- Multivariate Data Analysis in the Natural and Life Sciences
- Langue
- Anglais
- Auteurs
- Ron Wehrens
- Éditeur
- Springer Berlin Heidelberg
- Publié
- 2020
- Format
- souple
- Pages
- 324
- ISBN13
- 9783662620267
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Sciences naturelles, Chimie
- Évaluation
- 5 sur 5
- Description
- Focusing on multivariate statistics in the life sciences, this primer provides a comprehensive overview of the data analysis process, including exploratory analysis, modeling, and validation. It also addresses various aspects of chemometrics while offering relevant R code to facilitate practical application. Designed for accessibility, it serves as a valuable resource for those looking to enhance their statistical analysis skills in the context of life sciences.