Analysis Description ( R - assignPOP ver. 1.1.2 )
 Perform assign.MC() @ 2017-06-07 16:05:05 

 train.inds = 0.5 
 train.loci = 1 
 iterations = 3 
 Total assignment tests = 3 
 Fst locus sample method: fst 
 Data scaled and centerd: FALSE 
 PC retaining criteria: kaiser-guttman 
 PCA for non-genetic data: NA 
 Machine learning model: svm 

 Input Data ( genetics )
 Number of individuals: 24 
 Number of loci: 4 
 Number of non-genetic variables: 0 
 Number of populations: 3 
 pop.1 pop.2 pop.3 
 8 10 6