bookApr 25, 2017Closed access
Exploratory Multivariate Analysis by Example Using R
Institut de recherche mathématique de Rennes · Institut Agro Rennes-Angers
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Abstract
An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors--Provided by publisher.
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681
total citations
- FWCI
- 55.80
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- 100%
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Authors
3Topics & keywords
Topics
Keywords
- Multivariate statistics
- Multivariate analysis
- Exploratory analysis
- Computer science
- Mathematics
- Statistics
- Data science
UN Sustainable Development Goals
- Good health and well-being
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