The use of Shiny in research publications is investigated over the six and a half years since the appearance of this popular web application framework for R, which has been utilised in many varied research areas. While it is demonstrated that the complexity of Shiny applications is limited by the background architecture, and real security concerns exist for novice app developers, the collaborative benefits are worth attention from the wider research community. Shiny simplifies the use of complex methodologies for people of different specialities, at the level of proficiency appropriate for the end user. This enables a diverse community of users to interact efficiently, and utilise cutting edge methodologies. The literature reviewed demonstrates that complex methodologies can be put into practice without insisting on investment in professional training, for a comprehensive understanding from all participants. It appears that Shiny opens up concurrent benefits in communication between those who analyse data and other disciplines, that would enrich much of the peer-reviewed research.
Shiny, ggplot2, Reactlog, ShinyTester, rHyperSpec, ShinyStan
Graphics, Phylogenetics, TeachingStatistics
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For attribution, please cite this work as
Kasprzak, et al., "The R Journal: Six Years of Shiny in Research - Collaborative Development of Web Tools in R", The R Journal, 2021
BibTeX citation
@article{RJ-2021-004,
author = {Kasprzak, Peter and Mitchell, Lachlan and Kravchuk, Olena and Timmins, Andy},
title = {The R Journal: Six Years of Shiny in Research - Collaborative Development of Web Tools in R},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-004},
doi = {10.32614/RJ-2021-004},
volume = {12},
issue = {2},
issn = {2073-4859},
pages = {155-162}
}