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teal data extraction module user-interface

data_extract_ui.Rd

[Experimental] This functionality should be used in the encoding panel of your teal app. It will allow app-developers to specify a data_extract_spec object. This object should be used to teal module variables being filtered data from CDISC datasets. You can use this function in the same way as any shiny module UI. The corresponding server module can be found in data_extract_srv().

Usage

data_extract_ui(id, label, data_extract_spec, is_single_dataset = FALSE)

Arguments

id

(character) shiny input unique identifier

label

(character) Label above the data extract input

data_extract_spec

(list of data_extract_spec) This is the outcome of listing data_extract_spec constructor calls.

is_single_dataset

(logical) FALSE to display the dataset widget

Value

shiny shiny::selectInputs that allow to define how to extract data from a specific dataset. The input elements will be returned inside a shiny::div container. There are three inputs that will be rendered

  1. Dataset select Optional. If more than one data_extract_spec is handed over to the function, a shiny shiny::selectInput will be rendered. Else just the name of the dataset is given.

  2. Filter Panel Optional. If the data_extract_spec contains a filter element a shiny shiny::selectInput will be rendered with the options to filter the dataset.

  3. Select panel A shiny shiny::selectInput to select columns from the dataset to go into the analysis.

The output can be analyzed using data_extract_srv(...).

UI examples

adtte_filters <- filter_spec( vars = c("PARAMCD", "CNSR"), sep = "-", choices = c("OS-1" = "OS-1", "OS-0" = "OS-0", "PFS-1" = "PFS-1"), selected = "OS-1", multiple = FALSE, label = "Choose endpoint and Censor" ) response_spec <- data_extract_spec( dataname = "ADTTE", filter = adtte_filters, select = select_spec( choices = c("AVAL", "BMRKR1", "AGE"), selected = c("AVAL", "BMRKR1"), multiple = TRUE, fixed = FALSE, label = "Column" ) ) # Call to use inside your teal module UI function teal.widgets::standard_layout( encoding = div( data_extract_ui(id = "regressor", label = "Regressor Variable", data_extract_spec = response_spec) ) ) html Dataset with multiple filters and column selection html Dataset with multiple filters and column selection html Dataset with multiple filters and column selection