Sep 23 at 13:00 UTC
Multivariate methods are essential for testing complex hypotheses that involve the joint analysis of many variables, where predictor and response variables are not clearly separated. The workshop covers their mathematical foundations and how to select and apply the appropriate technique in each case.
Methods covered: PCA, CA, PCoA, CCA, RDA, variance partitioning, NMDS, cluster analysis, and discriminant analysis.
Prior to the workshop
Watch the lessons recordings and practice the exercises to come prepared with your questions. Links to the recordings will be sent to you after your registration.
Click here to view a recording on this workshop.
