To start the app, download this repository, start R in the app/ folder, and type:
shiny::runApp("app.R")Alternatively, you can use the online version of the app.
This folder contains a reportfactory with reports providing a proof of concept and implementation of the model used for forecasting admissions and hospital beds.
You will first need to install dependencies before compiling the documents in
this factory. We recommend using the latest version of R. Double-click on
open.Rproj (or just start R in the model/ folder) and copy-paste the
following instructions:
if (!require(reportfactory)) remotes::install_github("reconhub/reportfactory")
library(reportfactory)
rfh_load_scripts()
install_deps()
To compile the report, double-click on open.Rproj (or just start R
in the model/ folder) and type:
reportfactory::update_reports(clean_report_sources = TRUE)
Dated and time-stamped outputs (including the html version of the report) will
be generated in report_outputs.
The source of the report is an Rmarkdown document stored in
report_sources/. If you plan on working on your own local copy, we recommend
either using version control systems (e.g. GIT) to track changes, or creating
new versions in report_sources/ with a more recent date in the file name. Note
that by default, reportfactory::update_reports() will always compile the
latest version of reports.
This work is distributed under MIT License (see LICENSE file).