Re-running an experiment is generally costly and in some cases impossible due to limited resources, so the design of an experiment plays a critical role in increasing the quality of experimental data. In this paper we describe the current state of the R-packages for the design of experiments through an exploratory data analysis of package downloads, package metadata, and the comparison of characteristics with other topics. We observe that experimental designs in practice appear to be sufficiently manufactured by a small number of packages and the development of experimental designs often occur in silos. We discuss also the interface designs of widely utilised R packages in the field of experimental design and discuss its future prospects to advance the field in practice.
翻译:重新进行实验一般费用高昂,有时由于资源有限而无法进行,因此试验的设计在提高实验数据质量方面起着关键作用。在本文件中,我们通过对包件下载、包件元数据以及特征与其他专题的比较进行探索性数据分析,描述了用于设计实验的R包的现状。我们注意到,实验设计实际上似乎由少量的包件充分制造,实验设计的发展往往在筒仓中进行。我们还讨论了实验设计领域广泛使用的R包件的接口设计,并讨论了在实际中推进这个领域的未来前景。