Results of principal component analysis.

Loadings, eigenvalues and cumulative amount of variation explained by four of the components (PC's) obtained from a PCA analysis using the log-transformed volume or the relative size (residuals, see methods) of nine visual nuclei. Values obtained using Hackett et al., (2008; [68]) phylogeny are shown. Values obtained with two different evolutionary models (Brownian motion and pagel's lambda) are also shown for the relative size PCA. For complete values with both phylogenies used in this study see table S5.本数据集包含基于9个视觉神经核的对数转换体积或相对大小（残差，详见方法部分）开展主成分分析（Principal Component Analysis，PCA）后得到的4个主成分的载荷值、特征根与累积解释变异量。本研究展示了基于Hackett等人2008年的系统发育树（参考文献[68]）得到的计算结果；针对相对大小维度的主成分分析，本研究同时提供了基于两种不同进化模型（布朗运动模型与佩奇λ（Pagel's λ）模型）的计算结果。若需获取本研究中使用两种系统发育树对应的完整数值，请参见补充表S5。