View source: R/teal_data_module.R
| teal_data_module | R Documentation |
teal applicationsCreate a teal_data_module object and evaluate code on it with history tracking.
teal_data_module(ui, server, label = "data module", once = TRUE)
## S4 method for signature 'teal_data_module,character'
eval_code(object, code)
## S3 method for class 'teal_data_module'
within(data, expr, ...)
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See |
teal_data_module creates a shiny module to interactively supply or modify data in a teal application.
The module allows for running any code (creation and some modification) after the app starts or reloads.
The body of the server function will be run in the app rather than in the global environment.
This means it will be run every time the app starts, so use sparingly.
Pass this module instead of a teal_data object in a call to init().
Note that the server function must always return a teal_data object wrapped in a reactive expression.
See vignette vignette("data-as-shiny-module", package = "teal") for more details.
eval_code evaluates given code in the environment of the teal_data object created by the teal_data_module.
The code is added to the @code slot of the teal_data.
within is a convenience function for evaluating inline code inside the environment of a teal_data_module.
It accepts only inline expressions (both simple and compound) and allows for injecting values into expr through
the ... argument: as name:value pairs are passed to ..., name in expr will be replaced with value.
teal_data_module returns a list of class teal_data_module containing two elements, ui and
server provided via arguments.
eval_code returns a teal_data_module object with a delayed evaluation of code when the module is run.
within returns a teal_data_module object with a delayed evaluation of expr when the module is run.
teal.data::teal_data, teal.code::qenv()
tdm <- teal_data_module(
ui = function(id) {
ns <- NS(id)
actionButton(ns("submit"), label = "Load data")
},
server = function(id) {
moduleServer(id, function(input, output, session) {
eventReactive(input$submit, {
data <- within(
teal_data(),
{
dataset1 <- iris
dataset2 <- mtcars
}
)
data
})
})
}
)
eval_code(tdm, "dataset1 <- subset(dataset1, Species == 'virginica')")
within(tdm, dataset1 <- subset(dataset1, Species == "virginica"))
# use additional parameter for expression value substitution.
valid_species <- "versicolor"
within(tdm, dataset1 <- subset(dataset1, Species %in% species), species = valid_species)
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