Monetary aggregates in a web browser

dmai_app() starts the application of dmai: load the components of a monetary aggregate (the simulated example money_sim or a CSV file), choose the quantity and rate columns and the benchmark rate, compute the Divisia or another index, compare all methods, inspect the user costs, weights and Divisia second moments. Every result page shows an interpretation computed from the results (dmai_interpret()), the output as R prints it, formatted tables, plots and the R code that repeats the analysis, each with a Copy button.

Usage

dmai_app(launch.browser = interactive(), ...)

dmai_app_object()

Arguments

launch.browser: passed to shiny::runApp(): TRUE (default in an interactive session) opens the application in the web browser.
...: further arguments to shiny::runApp(), such as port.

Value

dmai_app() is called for its side effect and returns the value of shiny::runApp() when the application is closed; dmai_app_object() returns the application object (for shiny::runApp(), shiny::testServer() or deployment on a server).

Details

The application needs the suggested packages shiny, bslib and DT. Plots are sent to the browser as WebP images when magick is installed (smaller than PNG; PNG otherwise) and can be downloaded as PNG, PDF or WebP. Text is set in IBM Plex Sans and output in IBM Plex Mono when the browser can reach Google Fonts, in the system fonts otherwise. A CSV file needs one row per date: a date column (read as a date when it looks like one) and a quantity and a rate column for every component.

Author

Muhammad Yaseen (myaseen208@gmail.com)

Examples

if (interactive()) {
  dmai_app(
      launch.browser = TRUE
    )
}