Public concern about, and desire for research into, the human health effects of marine plastic pollution: R script

Four R scripts, used for creating:
1) Sample wide weighted means of public concern for the human health impacts of 16 marine threats including marine plastic pollution and country level breakdowns of these means (Figures 1 & 3). A repeated measures ANOVA via a mixed linear effect model is also scripted which tests the effect of marine threat on concern level, as well as post hoc analysis testing the differences between marine threats.
2) Sample wide weighted means of public support for research into the human health implications of 15 marine research areas, including marine plastic pollution and country level breakdowns of these means (Figures 2 & 4). A repeated measures ANOVA via a mixed linear effect model is also scripted which tests the effect of marine research area on support level, as well as post hoc analysis testing the differences between marine research areas.
3) A data frame for multi-level regression analysis.
4) Multi-level modelling predicting public concern for and desire for research into marine plastic pollution, as well as mediation analysis formally testing the mediating effect of concern.

四份 R 脚本，用于创建：
1) 公众对16种海洋威胁（包括海洋塑料污染）对人类健康影响关注的样本广泛加权平均值，以及这些平均值的国家层面分解（见图1和图3）。脚本中还包含通过混合线性效应模型进行的重复测量方差分析，以检验海洋威胁对关注水平的影响，以及事后分析检验不同海洋威胁之间的差异。
2) 公众对15个海洋研究领域（包括海洋塑料污染）人类健康影响研究的支持样本广泛加权平均值，以及这些平均值的国家层面分解（见图2和图4）。脚本中还包含通过混合线性效应模型进行的重复测量方差分析，以检验海洋研究领域对支持水平的影响，以及事后分析检验不同海洋研究领域之间的差异。
3) 用于多层次回归分析的数据框。
4) 预测公众对海洋塑料污染的关注程度和进行研究欲望的多层次模型，以及正式检验关注程度中介效应的调节分析。