teal module: Variable browser

Module provides provides a detailed summary and visualization of variable distributions for data.frame objects, with interactive features to customize analysis.

Usage

tm_variable_browser(
  label = "Variable Browser",
  datasets_selected = character(0),
  parent_dataname = "ADSL",
  pre_output = NULL,
  post_output = NULL,
  ggplot2_args = teal.widgets::ggplot2_args()
)

Arguments

label

(character(1)) Label shown in the navigation item for the module or module group. For modules() defaults to "root". See Details.

datasets_selected

(character) vector of datasets which should be shown, in order. Names must correspond with datasets names. If vector of length zero (default) then all datasets are shown. Note: Only data.frame objects are compatible; using other types will cause an error.

parent_dataname

(character(1)) string specifying a parent dataset. If it exists in datasets_selectedthen an extra checkbox will be shown to allow users to not show variables in other datasets which exist in this dataname. This is typically used to remove ADSL columns in CDISC data. In non CDISC data this can be ignored. Defaults to "ADSL".

pre_output

(shiny.tag) optional, text or UI element to be displayed before the module's output, providing context or a title. with text placed before the output to put the output into context. For example a title.

post_output

(shiny.tag) optional, text or UI element to be displayed after the module's output, adding context or further instructions. Elements like shiny::helpText() are useful.

ggplot2_args

(ggplot2_args) object created by teal.widgets::ggplot2_args() with settings for the module plot. The argument is merged with options variable teal.ggplot2_args and default module setup.

For more details see the vignette: vignette("custom-ggplot2-arguments", package = "teal.widgets")

Value

Object of class teal_module to be used in teal applications.

Details

Numeric columns with fewer than 30 distinct values can be treated as either discrete or continuous with a checkbox allowing users to switch how they are treated(if < 6 unique values then the default is discrete, otherwise it is continuous).

Examples in Shinylive

example-1

Open in Shinylive

example-2

Open in Shinylive

Examples

# general data example
data <- teal_data()
data <- within(data, {
  iris <- iris
  mtcars <- mtcars
  women <- women
  faithful <- faithful
  CO2 <- CO2
})
datanames(data) <- c("iris", "mtcars", "women", "faithful", "CO2")

app <- init(
  data = data,
  modules = modules(
    tm_variable_browser(
      label = "Variable browser"
    )
  )
)
#> Initializing tm_variable_browser
#> Initializing reporter_previewer_module
if (interactive()) {
  shinyApp(app$ui, app$server)
}
# CDISC example data
library(sparkline)
data <- teal_data()
data <- within(data, {
  ADSL <- rADSL
  ADTTE <- rADTTE
})
datanames(data) <- c("ADSL", "ADTTE")
join_keys(data) <- default_cdisc_join_keys[datanames(data)]

app <- init(
  data = data,
  modules = modules(
    tm_variable_browser(
      label = "Variable browser"
    )
  )
)
#> Initializing tm_variable_browser
#> Initializing reporter_previewer_module
if (interactive()) {
  shinyApp(app$ui, app$server)
}