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.

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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
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article

Current State and Prospects of R-Packages for the Design of Experiments

Emi Tanaka, Dewi Amaliah
The R Journal
Optimal Experimental Design Methods
article

Current State and Prospects of R-Packages for the Design of Experiments

Emi Tanaka, Dewi Amaliah
article en

Abstract

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.

The R JournalVol. 16(2)
Australian Regenerative Medicine Institute (AU), Monash University (AU)
Climate action
Openalex Percentile: Top 87%
Optimal Experimental Design Methods
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