Proper functioning of any teal application requires the
presence of a teal_data object. Typically, a
teal_data object created in the global environment will be
passed to the data argument in init. This
teal_data object should contain all elements necessary for
successful execution of the application’s modules.
In some scenarios, however, application developers may opt to
postpone some data operations until the application runtime. This can be
done by passing a special shiny module to the
data argument. The teal_data_module function
is used to build such a module from the following components:
id; defines
user interface elements for the data moduleid;
defines server logic for the data module, including data creation; must
return a reactive expression containing a teal_data
objectteal will run this module when the application starts
and the resulting teal_data object that will be used
throughout all teal (analytic) modules.
One case for postponing data operations is datasets that are dynamic,
frequently updated. Such data cannot be created once and kept in the
global environment. Using teal_data_module enables creating
a dataset from scratch every time the user starts the application.
See ?qenv for a detailed explanation of how to use
the within method.
library(teal)
data_module <- teal_data_module(
ui = function(id) tags$div(),
server = function(id) {
moduleServer(id, function(input, output, session) {
reactive({
data <- within(
teal_data(),
{
dataset1 <- iris
dataset2 <- mtcars
}
)
data
})
})
}
)
app <- init(
data = data_module,
modules = example_module()
)
if (interactive()) {
shinyApp(app$ui, app$server)
}Another reason to postpone data operations is to involve the application user in the preprocessing stage. An initial, constant form of the data can be created in the global environment and then modified once the app starts.
The following example illustrates how teal_data_module
can be utilized to subset data based on the user inputs:
data <- within(teal_data(), {
dataset1 <- iris
dataset2 <- mtcars
})
data_module <- teal_data_module(
ui = function(id) {
ns <- NS(id)
tags$div(
selectInput(ns("species"), "Select species to keep",
choices = unique(iris$Species), multiple = TRUE
),
actionButton(ns("submit"), "Submit")
)
},
server = function(id) {
moduleServer(id, function(input, output, session) {
eventReactive(input$submit, {
data_modified <- within(
data,
dataset1 <- subset(dataset1, Species %in% selected),
selected = input$species
)
data_modified
})
})
}
)
app <- init(
data = data_module,
modules = example_module()
)
if (interactive()) {
shiny::shinyApp(ui = app$ui, server = app$server)
}Note that running preprocessing code in a module as opposed to the global environment will increase app loading times. It is recommended to keep the constant code in the global environment and to move only the dynamic parts to a data module.
When using teal_data_module to modify a pre-existing
teal_data object, it is crucial that the server function
and the data object are defined in the same environment, otherwise the
server function will not be able to access the data object. This means
server functions defined in packages cannot be used.
teal_data_modulesThe server logic of a teal_data_module can be modified
before it is used in an app, using the within function.
This allows the teal_data object that is created in the
teal_data_module to be processed further.
In the previous example, data_module takes a predefined
teal_data object and allows the app user to select a
subset. The following example modifies data_module so that
new columns are added once the data is retrieved.
data_module_2 <- within(
data_module,
{
# Create new column with Ratio of Sepal.Width and Petal.Width
dataset1$Ratio.Sepal.Petal.Width <- round(dataset1$Sepal.Width / dataset1$Petal.Width, digits = 2L)
# Create new column that converts Miles per Galon to Liter per 100 Km
dataset2$lp100km <- round(dataset2$mpg * 0.42514371, digits = 2L)
}
)
app <- init(
data = data_module_2,
modules = example_module()
)
if (interactive()) {
shiny::shinyApp(ui = app$ui, server = app$server)
}