Discriminant analysis of principal components (DAPC) is a multivariate approach for identifying variation between pre-defined populations (Jombart et al. 2010).
It can be applied to SNP data, or other types of data such a gene expression.
Exercise:
Download the exercise files
Open the R script dapc_from_snps.R to run DAPC on the included VCF
