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Generate the User Interface for the Web App

Source: R/webapp_ui.R
portalcasting-app-ui.Rd

app_ui constructs the user interface (UI) for the web application by updating the static pages (models and rodent profiles) then running fluidPage on the UI components.
write_rodent_profiles_tab_html and write_model_tab_html build and write-out static html files for the rodent profiles and models tabs during fill_app.
The <_>_href functions provide simplified calls to hyperlinked texts that are repeatedly used.
See Details for hierarchy of functions.

Usage

app_ui(global = global_list())

app_theme()

main_panel(global = global_list())

title_panel()

subtitle_panel()

about_tab(global = global_list())

models_tab(global = global_list())

rodents_profiles_tab(global = global_list())

forecast_tab(global = global_list())

forecast_tab_input_selection_checks_row()

forecast_tab_input_selection_row(global = global_list())

forecast_tab_input_selection_row_species(global = global_list())

forecast_tab_input_selection_row_dataset(global = global_list())

forecast_tab_input_selection_row_model(global = global_list())

forecast_tab_input_selection_row_historic_end_newmoonnumber(
  global = global_list()
)

evaluation_tab(global = global_list())

evaluation_tab_input_selection_checks_row()

evaluation_tab_input_selection_row(global = global_list())

evaluation_tab_input_selection_row_species(global = global_list())

evaluation_tab_input_selection_row_dataset(global = global_list())

evaluation_tab_input_selection_row_model(global = global_list())

evaluation_tab_input_selection_row_historic_end_newmoonnumber(
  global = global_list()
)

evaluation_tab_input_selection_row_newmoonnumber(global = global_list())

covariates_tab(global = global_list())

data_sources_section()

portal_project_href(text = "The Portal Project")

portal_data_href(text = "The Portal Data Repository")

portal_weather_href(text = "weather data")

portal_ndvi_href(text = "NDVI data")

write_rodents_profiles_tab_html(main = ".")

write_models_tab_html(main = ".")

Arguments

global

A list of global values for the app.

text

character value of the text used in htmltools::a.

main

character value of the name of the main component of the directory tree.

Value

A UI definition, component shiny tags, or bootswatch theme.

Details

The UI is hierarchical built as:

  • app_ui

    • title_panel

    • subtitle_panel

    • main_panel

      • forecast_tab

        • forecast_tab_input_selection_row

          • forecast_tab_input_selection_row_species

          • forecast_tab_input_selection_row_dataset

          • forecast_tab_input_selection_row_model

          • forecast_tab_input_selection_row_historic_end_newmoonnumber

        • forecast_tab_input_selection_checks_row # commented out, but available for checking reactive inputs in dev

        • plot_forecast_ts

        • plot_forecast_point

      • evaluation_tab

        • evaluation_tab_input_selection_row

          • evaluation_tab_input_selection_row_species

          • evaluation_tab_input_selection_row_dataset

          • evaluation_tab_input_selection_row_model

          • evaluation_tab_input_selection_row_historic_end_newmoonnumber

          • evaluation_tab_input_selection_row_newmoonnumber

        • evaluation_tab_input_selection_checks_row # commented out, but available for checking reactive inputs in dev

        • plot_forecast_point

        • plot_forecasts_cov_RMSE

      • about_tab

      • models_tab

      • rodents_profiles_tab

      • covariates_tab

        • data_sources_section

See also

Other shinyapp: portalcasting app, portalcasting app selection helpers, portalcasting app server

Examples

if (FALSE) { # \dontrun{
   main1 <- file.path(tempdir(), "app_ui")
   setup_dir(main = main1)

   global <- global_list(main = main1)
 
   app_ui(global = global)
   title_panel( )
   subtitle_panel( )
   main_panel(global = global)
   forecast_tab(global = global)
   forecast_tab_input_selection_row(global = global)
   forecast_tab_input_selection_row_species(global = global)
   forecast_tab_input_selection_row_dataset(global = global)
   forecast_tab_input_selection_row_model(global = global)
   forecast_tab_input_selection_row_historic_end_newmoonnumber(global = global)
   forecast_tab_input_selection_checks_row( )
   evaluation_tab(global = global)
   evaluation_tab_input_selection_row(global = global)
   evaluation_tab_input_selection_row_species(global = global)
   evaluation_tab_input_selection_row_dataset(global = global)
   evaluation_tab_input_selection_row_model(global = global)
   evaluation_tab_input_selection_row_historic_end_newmoonnumber(global = global)
   evaluation_tab_input_selection_row_newmoonnumber(global = global)
   evaluation_tab_input_selection_checks_row( )
   about_tab( )
   models_tab(global = global)
   rodents_profiles_tab(global = global)
   covariates_tab(global = global)
   data_sources_section( )

   unlink(main1, recursive = TRUE)
 } # }