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Tso, C.-.M.

R Shiny demonstrator application for advancing reproducible research

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https://doi.org/10.5285/df57b002-2a42-4a7d-854f-870dd867618c
This model code provides an example to demonstrate a new application of the 'learnr' R package to help authors to make elements of their research analysis more readily reproducible to users. It turns a R Markdown document to guided, editable, isolated, executable, and resettable code sandboxes where users can readily experiment with altering the codes exposed
Publication date: 2022-03-24
2 citations
53 downloads *
756 views *

More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

R

Provenance & quality

The model code depends on the 'learnr' R package.

Licensing and constraints

This model code is available under the terms of the Open Government Licence

Cite this model code as:
Tso, C.-.M. (2022). R Shiny demonstrator application for advancing reproducible research. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/df57b002-2a42-4a7d-854f-870dd867618c

BibTeX RIS

Citations

Yang, J., Lin, L., & Chu, H. (2021). BayesSenMC: an R package for Bayesian Sensitivity Analysis of Misclassification. In The R Journal (Vol. 13, Issue 2, p. 123). The R Foundation https://doi.org/10.32614/RJ-2021-097
Tso, C.-H. M., Monteith, D., Scott, T., Watson, H., Dodd, B., Pereira, M. G., Henrys, P., Hollaway, M., Rennie, S., Lowther, A., Watkins, J., Killick, R., & Blair, G. (2022). The evolving role of weather types on rainfall chemistry under large reductions in pollutant emissions. In Environmental Pollution (Vol. 299, p. 118905) https://doi.org/10.1016/j.envpol.2022.118905

Supplemental information

Lamb Weather Types (LWTs)
https://crudata.uea.ac.uk/cru/data/lwt/
Reading daily Atlantic multidecadal oscillation (AMO) data
https://climatedataguide.ucar.edu/climate-data/atlantic-multi-decadal-oscillation-amo

Correspondence/contact details

Tso, M.
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
 enquiries@ceh.ac.uk

Author

Tso, C.-.M.
UK Centre for Ecology & Hydrology
ORCID iD icon https://orcid.org/0000-0002-2415-0826

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
Keywords
Modelling , Rainfall chemistry , Reproducible research , R shiny , Web app
Last updated
24 March 2025 09:13