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Environmental phenomena are extremely complex and depend on a multitude of parameters. Multivariate statistical analysis is the main technique used to understand and capture the structure and key features of such multivariate data. The power, flexibility, and excellent graphical facilities of R make it the perfect statistical computing environment for multivariate statistical analysis. The scope of this class is to explain the mechanisms behind multivariate techniques used in environmental sciences like principal component analysis, correspondence analysis, cluster analysis, canonical correlations, and multivariate scaling. A wide variety of examples will be presented in class. After taking this course, the students will know, for a given set of data, how to identify the most appropriate technique, how to apply it in R, and how to interpret the output and draw conclusions.
Students are expected to have basic concepts in statistics and to know how to use R. A brief overview of R will be presented at the beginning of the class.
Class schedule: Tuesdays and Thursdays, 3:30 – 5:00 pm.
For more information contact Rodica Gelca at rodica.gelca@ttu.edu.
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Posted:
11/20/2014
Originator:
Rodica Gelca
Email:
N/A
Department:
Inst of Environ and Human Health
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