Tso, C.-H.M.

R Shiny demonstrator application for advancing reproducible research

https://doi.org/10.5285/df57b002-2a42-4a7d-854f-870dd867618c Cite this application

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

Format

Provenance & quality

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

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

Dr. Michael Tso

UK Centre for Ecology & Hydrology

Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM

enquiries@ceh.ac.uk

Author

Tso, C.-H.M.

UK Centre for Ecology & Hydrology

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: Data Lab, Data Labs, Modelling, Rainfall chemistry, Reproducible research, R shiny, Web app
Last updated: 28 April 2023 08:54

These data are held and managed by the Environmental Information Data Centre, hosted at UKCEH.

For more details and to access the data, go to https://catalogue.ceh.ac.uk/id/df57b002-2a42-4a7d-854f-870dd867618c