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Focused on multivariate analysis techniques, this book offers a thorough exploration of various methods applicable across research disciplines. It emphasizes practical application by providing extensive examples of R code, enabling readers to implement these techniques effectively. The content is designed to enhance understanding and skills in handling complex data sets using R, making it a valuable resource for researchers and data analysts alike.
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An Introduction to Applied Multivariate Analysis with R, Brian Everitt, Torsten Hothorn
- Langue
- Année de publication
- 2011
- Reliure
- (souple)
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- Titre
- An Introduction to Applied Multivariate Analysis with R
- Langue
- Anglais
- Auteurs
- Brian Everitt, Torsten Hothorn
- Éditeur
- Springer-Verlag GmbH
- Publié
- 2011
- Format
- souple
- Pages
- 273
- ISBN13
- 9781441996497
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Mathématiques
- Évaluation
- 3,95 sur 5
- Description
- Focused on multivariate analysis techniques, this book offers a thorough exploration of various methods applicable across research disciplines. It emphasizes practical application by providing extensive examples of R code, enabling readers to implement these techniques effectively. The content is designed to enhance understanding and skills in handling complex data sets using R, making it a valuable resource for researchers and data analysts alike.