Multivariate Statistics

3 credits · Undergraduate

This course covers several classical multivariate statistical topics: principal component analysis, rotation, canonical correlations, multidimensional scaling, correspondence analysis, hierarchical clustering. Matrix algebra and basics about multivariate data will be taught at the beginning. The course has both theoretical and applied components. R will be used as the primary computing tool. Prerequisite: PSY-PC 2110 or PSY 2100 (or equivalent), and PSY-PC 2120. [3]