Current State and Prospects of R-Packages for the Design of Experiments
Re-running an experiment is generally costly and, in some cases, impossible due to limited resources; therefore, 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 R-packages for the design of experiments through an exploratory data analysis of package downloads, package metadata, and a comparison of characteristics with other topics. We observed that experimental designs in practice appear to be sufficiently manufactured by a small number of packages, and the development of experimental designs often occurs in silos. We also discuss the interface designs of widely utilized R packages in the field of experimental design and discuss their future prospects for advancing the field in practice.
Authors
- Emi Tanaka (ORCID: https://orcid.org/0000-0002-1455-259X)
- Dewi Amaliah (ORCID: https://orcid.org/0000-0001-6903-6237)
Institutions
- Australian Regenerative Medicine Institute (AU)
- Monash University (AU)
Publication Details
- Journal
- The R Journal
- Published
- 2025-03-09
- DOI
- https://doi.org/10.32614/rj-2024-013
- Primary Topic
- Optimal Experimental Design Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00