Abstract: This article aimed at determining the suitable variety stability analysis parameters and their calculation methods. Fourteen parameters for one set of variety regional test data were computed by R language. The effect and correlation of the parameters were studied using rank correlation and principal component analysis. The results showed that R language was a convenient and flexible language for calculating all kinds of parameters. Correlation analysis showed that the correlations between PCOA and yield, CV and Bi, Sigma.square and Si, Si2, Si3, ASV, respectively, ASV and Si6 were positive significantly. The principal components analysis showed that 14 methods could be categorized in three groups: group Ⅰ included Bi which showed negative correlation with others and no correlation with yield; group Ⅱ YIELD, Pi, YSI, CV and PCOA whose yield level and stability of performance were considered simultaneously; and group Ⅲ which were mostly associated with each other and showed little or no correlation with yield. The research showed that the ASV, Si and the PCOA were the beneficial supplements of the single variable parameter model.