I've run a sPCA in R (adegenet package) following Jombart's tutorials. When I use the summary function for my sPCA I obtain:
sPCA eigenvalues decomposition:
____________eig ____________var ____________ moran
Axis 1 __ 0.15675044 __ 1.0088656 __ 0.6214918
Axis 2 __ 0.08220275 __ 0.7455009 __ 0.4410605
Has anyone encountered anything similar? Am I just misinterpreting the results?