Data for: Religious faith, academic stress, and instrumental drug use in a sample of Western-African University students

Note: In order to execute the uploaded scripts on the respective files, working directories, specific path names and file names need to be adapted to the users computer. Note: If both scripts are executed then missing data will be imputed again. This should not alter the results in a meaningful way, but some decimals in the quasi-poisson regression results might change. Raw data: raw.data.xlsx R-Script for preparing datasets for analysis and imputation of missing values: 2018_07_05_NE in Ghana_preparations_multImp_UPLOAD.R dataset for quasi-poisson regression results: 2018_07_05_NE_Ghana_aggregated_im_UPLOAD.csv dataset for creating DI heatmap: 2018_07_05_NE_Ghana_DI_UPLOAD.csv R-Script for producing FIgures and statistical results reported in the paper: 2018_07_05_NE in Ghana_analyses_multimp_UPLOAD.r注意：若要在对应文件上运行上传的脚本，需将工作目录、特定路径名称与文件名调整为适配使用者的本地计算机环境。 注意：若同时运行两份脚本，则缺失值将被再次插补。此举不会对结果产生实质性影响，但拟泊松回归（quasi-poisson regression）结果中的部分小数位可能会发生变化。 原始数据：raw.data.xlsx 用于构建分析数据集并完成缺失值插补的R脚本：2018_07_05_NE in Ghana_preparations_multImp_UPLOAD.R 用于存储拟泊松回归（quasi-poisson regression）结果的数据集：2018_07_05_NE_Ghana_aggregated_im_UPLOAD.csv 用于生成DI热力图的数据集：2018_07_05_NE_Ghana_DI_UPLOAD.csv 用于生成论文中报告的图表与统计结果的R脚本：2018_07_05_NE in Ghana_analyses_multimp_UPLOAD.r