A guide for using and reporting experimental statistics in additive manufacturing, based on an assessment of current practices

The data for this study are drawn from a structured literature review of additive manufacturing (AM) studies, with a focus on laser-based powder bed fusion of metals (PBF-LB/M). Each row in the dataset corresponds to an individual published study and includes coded variables describing its experimental design, statistical methods, and reporting practices. Key variables capture whether the study implemented randomization, replication, blocking, and assumption checks, as well as metadata such as publication year and journal. To reproduce the analysis, save the file litReviewData.csv in the same directory as the script litReview.R. Then, open R (or RStudio), set the working directory to this folder using setwd("path/to/folder"), and run the script. The code will automatically read the CSV file, perform the analyses, and generate all figures and tables reported in the manuscript.本研究的数据源自针对增材制造（additive manufacturing, AM）相关研究的结构化文献综述，重点聚焦于金属基激光粉末床熔融（laser-based powder bed fusion of metals, PBF-LB/M）。数据集的每一行对应一篇独立发表的研究文献，包含经编码的变量，用以描述其实验设计、统计方法与报告规范。核心变量涵盖该研究是否采用了随机化、重复试验、区组设计以及假设检验，同时包含发表年份、刊载期刊等元数据。若需复现本研究的分析流程，请将litReviewData.csv文件与litReview.R脚本置于同一目录下。随后打开R（或RStudio），通过setwd("path/to/folder")命令将工作目录设置为该文件夹，再运行该脚本即可。程序将自动读取CSV文件、完成全部分析，并生成论文中报道的所有图表与表格。