EIDC
Tso, C.-H.M.

R Shiny demonstrator application for advancing reproducible research

https://doi.org/10.5285/df57b002-2a42-4a7d-854f-870dd867618c Cite this model code
DISCLAIMER: Publication of this model code by the EIDC does not signify any endorsement or approval. By accessing and using the resource, you acknowledge that it is entirely at your own risk and you are solely responsible for any loss or liability that may arise.
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

R

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
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
27 February 2024 16:21

Get the data

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

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

Download the data Supporting documentation

CITE AS: Tso, C.-H.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