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.

中文翻译：

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用于实验设计的 R 包的现状和前景

重新运行实验通常成本高昂，在某些情况下由于资源有限是不可能的，因此实验设计在提高实验数据质量方面起着至关重要的作用。在本文中，我们通过对包下载、包元数据的探索性数据分析以及与其他主题的特征比较来描述用于实验设计的 R 包的当前状态。我们观察到，实践中的实验设计似乎可以通过少量包装充分制造，并且实验设计的开发经常发生在孤岛中。我们还讨论了在实验设计领域广泛使用的 R 包的界面设计，并讨论了其在实践中推进该领域的未来前景。