Topics include multivariate data visualization, basic concepts in ordination, principal component analysis, correspondence analysis, cluster analysis, canonical correlations, and multivariate scaling. Emphasis is placed on practical applications in R of multivariate techniques to a variety of examples in environmental sciences.

Posted:
12/6/2017
Originator:
Rodica Gelca
Email:
rodica.gelca@ttu.edu
Department:
Mathematics and Statistics
Categories
