init | R Documentation |
shiny
appEnd-users: This is the most important function for you to start a
teal
app that is composed of teal
modules.
init(
data,
modules,
filter = teal_slices(),
title = build_app_title(),
header = tags$p(),
footer = tags$p(),
id = character(0)
)
data |
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modules |
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filter |
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title |
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When initializing the teal
app, if datanames
are not set for the teal_data
object,
defaults from the teal_data
environment will be used.
Named list with server and UI functions.
app <- init(
data = teal_data(
new_iris = transform(iris, id = seq_len(nrow(iris))),
new_mtcars = transform(mtcars, id = seq_len(nrow(mtcars))),
code = "
new_iris <- transform(iris, id = seq_len(nrow(iris)))
new_mtcars <- transform(mtcars, id = seq_len(nrow(mtcars)))
"
),
modules = modules(
module(
label = "data source",
server = function(input, output, session, data) {},
ui = function(id, ...) div(p("information about data source")),
datanames = "all"
),
example_module(label = "example teal module"),
module(
"Iris Sepal.Length histogram",
server = function(input, output, session, data) {
output$hist <- renderPlot(
hist(data()[["new_iris"]]$Sepal.Length)
)
},
ui = function(id, ...) {
ns <- NS(id)
plotOutput(ns("hist"))
},
datanames = "new_iris"
)
),
filter = teal_slices(
teal_slice(dataname = "new_iris", varname = "Species"),
teal_slice(dataname = "new_iris", varname = "Sepal.Length"),
teal_slice(dataname = "new_mtcars", varname = "cyl"),
exclude_varnames = list(new_iris = c("Sepal.Width", "Petal.Width")),
module_specific = TRUE,
mapping = list(
`example teal module` = "new_iris Species",
`Iris Sepal.Length histogram` = "new_iris Species",
global_filters = "new_mtcars cyl"
)
),
title = "App title",
header = tags$h1("Sample App"),
footer = tags$p("Copyright 2017 - 2023")
)
if (interactive()) {
shinyApp(app$ui, app$server)
}
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