Wild potato species hold important genes related to disease resistance, tolerance to abiotic stress, and other traits of agronomic interest; however, they remain being the least explored. This study aimed to develop an accessible and replicable R analysis workflow to explore the genetic diversity and population structure of the International Potato Center’s (CIP) wild potato germplasm collection through nonparametric approaches. We worked with single nucleotide polymorphism (SNP) data from 1248 wild potato accessions, most of which had been genotyped for the first time. Genetic diversity parameters were calculated prior to structure analysis. Population structure was analyzed through parametric methods such as variational Bayesian inference, and nonparametric methods, such as dimensionalityreduction and distance-based techniques. Distance-based analysis revealed clustering based on plo...