Supplementary table 4 from ddRAD sequencing resolves fine-scale population structure in a benthic invertebrate with implications for understanding phenotypic plasticity

Summary of the results of the General Linear Mixed Models (GLMMs) with response variables shell shape PC1 and CI, population included as a random effect, and PC1 and PC2 from the PCA of the SNP dataset fitted as a predictor variables.

广义线性混合模型（General Linear Mixed Models, GLMMs）的结果总结：该模型以壳形主成分1（PC1）与置信区间（Confidence Interval, CI）为响应变量，以种群作为随机效应，并将单核苷酸多态性（Single Nucleotide Polymorphism, SNP）数据集经主成分分析（Principal Component Analysis, PCA）得到的PC1与PC2作为预测变量。