DAPC

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