portalcasting-app-server: Generate the Server Code for the Web App

In weecology/portalPredictionsModels: Model and Forecast Portal Rodent Dynamics

Generate the Server Code for the Web App

Description

Generate the Server Code for the Web App

Usage

app_events()

app_server(input, output, session)

initial_reactive_values(global = global_list())

initial_output(main = ".", global, rv, output)

event_reaction(main, global, event, rv, input, output, session)

update_reactive_values(event, rv, input)

update_output(main, global, event, rv, input, output)

update_input(global, event, rv, input, session)

Arguments

input	input list for the UI.
output	output list for the UI.
session	Environment for the UI.
global	A list of global values for the app.
main	character value of the name of the main component of the directory tree.
rv	reactiveValues list for the UI.
event	character value of the server event. Options are managed by app_events – currently including "forecast_tab_species", "forecast_tab_dataset", "forecast_tab_model", "forecast_tab_historic_end_newmoonnumber", "evaluation_tab_species", "evaluation_tab_dataset", "evaluation_tab_model", and "evaluation_tab_historic_end_newmoonnumber")

Value

app_server: an observer reference class object (see observeEvent and observe).
initial_reactive_values: a reactiveValues list.
initial_output: an output list.
event_reaction: updates the rv, output, and input lists, but does not return them, per se.
update_reactive_values: a reactiveValues list.
update_output: an output list.
update_input: updates the input list, but does not return it.
app_events: character vector of event names.

See Also

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

Examples

## Not run: 
   main1 <- file.path(tempdir(), "app")
   setup_dir(main = main1)

   global <- global_list(main = main1)
 
   rv     <- initial_reavtive_values(global = global)

   output <- initial_output(main   = main1,
                            global = global,
                            rv     = rv,
                            output = list())

   unlink(main1, recursive = TRUE)
 
## End(Not run)

weecology/portalPredictionsModels documentation built on Jan. 31, 2024, 12:03 p.m.