Supplemental Table 1 from Panoramic spatial vision in the bay scallop <i>Argopecten irradians</i>

Results from CircMLE, a package in R that we used to rank how well models of circular distribution describe results from our experiments with static visual stimuli. For each treatment, the table includes the output parameters of both the uniform and unimodal models tested by CircMLE. The output parameters include the principle directions of unimodal models (ɸ₁), the concentration parameters of unimodal models (κ₁), and metrics comparing the relative performances of the models (AICc, ΔAICc, and AICc weights) in which lower values indicate higher support. We defined good support for models as ΔAICc scores of &lt;2.00 (shown in bold).本数据集为CircMLE的运行结果，CircMLE是一款R语言工具包，我们借助其对循环分布模型（circular distribution）拟合静态视觉刺激实验结果的优劣程度进行排序。针对每一组实验处理条件，该表格收录了CircMLE所测试的均匀分布模型（uniform model）与单峰分布模型（unimodal model）的全部输出参数。上述输出参数涵盖单峰分布模型的主方向（ɸ₁）、单峰分布模型的集中参数（κ₁），以及用于对比各模型相对性能的指标（AICc、ΔAICc与AICc权重），此类指标的数值越低，则代表对应的模型拟合支持度越高。我们将ΔAICc得分小于2.00的情形定义为模型获得良好支持，该类结果已以粗体标注。