Topics include multivariate data visualization, basic concepts in ordination, principal component analysis, correspondence analysis, cluster analysis, canonical correlation, and multivariate scaling. Emphasis is place on practical applications in R of multivariate techniques to a variety of examples in environmental sciences.
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Posted:
12/5/2017
Originator:
Rodica Gelca
Email:
N/A
Department:
Mathematics and Statistics
Categories
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