Package 'teal.widgets'

Builds a basic_table_args object

Description

This function has to be used to build an input for a basic_table_args argument. The basic_table_args argument should be a part of every module which contains any rtables object. Arguments are validated to match their rtables equivalents.

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

Usage

basic_table_args(...)

Arguments

...	arguments compatible with rtables::basic_table().

Value

(basic_table_args) object.

See Also

• resolve_basic_table_args() to resolve multiple objects into one using pre-defined priorities.

• parse_basic_table_args() to parse resolved list into list of calls.

Examples

basic_table_args(subtitles = "SUBTITLE")

---

Clean brushed points

Description

Cleans and organizes output to account for NAs and remove empty rows. Wrapper around shiny::brushedPoints.

Usage

clean_brushedPoints(data, brush)

Arguments

data	(data.frame) A data.frame from which to select rows.
brush	(list) The data from a brush e.g. input$plot_brush.

Value

A data.frame of selected rows.

Examples

brush <- list(
  mapping = list(
    x = "AGE",
    y = "BMRKR1"
  ),
  xmin = 30, xmax = 40,
  ymin = 0.7, ymax = 10,
  direction = "xy"
)

data <- data.frame(
  STUDYID = letters[1:20],
  USUBJID = LETTERS[1:20],
  AGE = sample(25:40, size = 20, replace = TRUE),
  BMRKR1 = runif(20, min = 0, max = 12)
)
nrow(clean_brushedPoints(data, brush))
data$AGE[1:10] <- NA
nrow(clean_brushedPoints(data, brush))

---

Draggable Buckets

Description

A custom widget with draggable elements that can be put into buckets.

Usage

draggable_buckets(input_id, label, elements = character(), buckets)

Arguments

input_id	(character(1)) the HTML id of this widget
label	(character(1) or shiny.tag) the header of this widget
elements	(character) the elements to drag into buckets
buckets	(character or list) the names of the buckets the elements can be put in or a list of key-pair values where key is a name of a bucket and value is a character vector of elements in a bucket

Details

shinyvalidate validation can be used with this widget. See example below.

Value

the HTML code comprising an instance of this widget

Examples

library(shiny)

ui <- fluidPage(
  draggable_buckets("id", "Choices #1", c("a", "b"), c("bucket1", "bucket2")),
  draggable_buckets("id2", "Choices #2", letters, c("vowels", "consonants")),
  verbatimTextOutput("out"),
  verbatimTextOutput("out2")
)
server <- function(input, output) {
  iv <- shinyvalidate::InputValidator$new()
  iv$add_rule(
    "id",
    function(data) if (length(data[["bucket1"]]) == 0) "There should be stuff in bucket 1"
  )
  iv$enable()

  observeEvent(list(input$id, input$id2), {
    print(isolate(input$id))
    print(isolate(input$id2))
  })
  output$out <- renderPrint({
    iv$is_valid()
    input$id
  })
  output$out2 <- renderPrint(input$id2)
}
if (interactive()) shinyApp(ui, server)

# With default elements in the bucket
ui <- fluidPage(
  draggable_buckets("id", "Choices #1", c("a", "b"), list(bucket1 = character(), bucket2 = c("c"))),
  verbatimTextOutput("out")
)
server <- function(input, output) {
  observeEvent(input$id, {
    print(isolate(input$id))
  })
  output$out <- renderPrint(input$id)
}
if (interactive()) shinyApp(ui, server)

---

Map lenghtMenu property

Description

Maps the lengthMenu selected value property of DT::datatable to a shiny variable.

Usage

get_dt_rows(dt_name, dt_rows)

Arguments

dt_name	ns() of inputId of the DT::datatable
dt_rows	ns() of inputId of the variable that holds the current selected value of lengthMenu

Value

(shiny::tagList) A ⁠shiny tagList⁠.

Examples

library(shiny)
library(DT)

ui <- function(id) {
  ns <- NS(id)
  tagList(
    DTOutput(ns("data_table")),
    get_dt_rows(ns("data_table"), ns("dt_rows"))
  )
}

# use the input$dt_rows in the Shiny Server function
server <- function(id) {
  moduleServer(id, function(input, output, session) {
    output$data_table <- renderDataTable(
      {
        iris
      },
      options = list(pageLength = input$dt_rows)
    )
  })
}

if (interactive()) {
  shinyApp(
    ui = ui("my_table_module"),
    server = function(input, output, session) server("my_table_module")
  )
}

---

Creates ggplot2_args object

Description

Constructor of ggplot2_args class of objects. The ggplot2_args argument should be a part of every module which contains any ggplot2 graphics. The function arguments are validated to match their ggplot2 equivalents.

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

Usage

ggplot2_args(labs = list(), theme = list())

Arguments

labs	(named list) where all fields have to match ggplot2::labs() arguments.
theme	(named list) where all fields have to match ggplot2::theme() arguments.

Value

(ggplot2_args) object.

See Also

• resolve_ggplot2_args() to resolve multiple objects into one using pre-defined priorities.

• parse_ggplot2_args() to parse resolved list into list of calls.

Examples

ggplot2_args(
  labs = list(title = "TITLE"),
  theme = list(title = ggplot2::element_text(size = 20))
)

---

Nested Closeable Modal Popup

Description

Alternative to shiny::modalDialog. Create a nested modal popup that can be shown/hidden using jQuery and modal id, without disturbing the parent modal.

Usage

nested_closeable_modal(id, ..., modal_args = list(easyClose = TRUE))

Arguments

id	(character(1)) shiny module id for the component. Note that this id can be used to show/hide this modal with the appended jQuery methods show/hide.
...	(shiny.tag) shiny UI elements that will be displayed in the modal UI
modal_args	(list) optional list of arguments for the shiny::modalDialog function to customize the modal. Has easyClose set to TRUE as default

Value

(shiny.tag) returns HTML for shiny module UI which can be nested into a modal popup

Examples

library(shiny)
library(shinyjs)

ui <- fluidPage(
  useShinyjs(),
  actionButton("show_1", "$(\"#modal_1\").modal(\"show\")"),
  nested_closeable_modal(
    "modal_1",
    modal_args = list(
      size = "l",
      title = "First Modal",
      easyClose = TRUE,
      footer = NULL
    ),
    tags$div(
      "This modal can be closed by running", tags$code("$(\"#modal_1\").modal(\"hide\")"),
      "in the JS console!",
      tags$br(),
      "Note that the second modal is placed right within this modal",
      tags$br(),
      "Alternatively, calling the", tags$code("removeModal()"),
      "will remove all the active modal popups",
      tags$br(), tags$br(),
      actionButton("show_2", "$(\"#modal_2\").modal(\"show\")"),
      actionButton("hide_1", "$(\"#modal_1\").modal(\"hide\")"),
      nested_closeable_modal(
        id = "modal_2",
        modal_args = list(
          size = "m",
          title = "Second Modal",
          footer = NULL,
          easyClose = TRUE
        ),
        tags$div(
          "This modal can be closed by running", tags$code("$(\"#modal_1\").modal(\"hide\")"),
          "in the JS console!",
          "Note that removing the parent will remove the child.
           But, reopening will remember the open state of child",
          actionButton("hide_2", "$(\"#modal_2\").modal(\"hide\")"),
          actionButton("hide_all", "$(\"#modal_1\").modal(\"hide\")")
        )
      )
    )
  )
)

server <- function(input, output) {
  observeEvent(input$show_1, {
    runjs("$(\"#modal_1\").modal(\"show\")")
  })
  observeEvent(input$show_2, {
    runjs("$(\"#modal_2\").modal(\"show\")")
  })
  observeEvent(c(input$hide_1, input$hide_all), {
    runjs("$(\"#modal_1\").modal(\"hide\")")
  })
  observeEvent(input$hide_2, {
    runjs("$(\"#modal_2\").modal(\"hide\")")
  })
}

if (interactive()) {
  shinyApp(ui, server)
}

---

Wrapper for pickerInput

Description

Wrapper for shinyWidgets::pickerInput() with additional features. When fixed = TRUE or when the number of choices is less or equal to 1 (see fixed_on_single), the pickerInput widget is hidden and non-interactive widget will be displayed instead. Toggle of HTML elements is just the visual effect to avoid displaying pickerInput widget when there is only one choice.

Usage

optionalSelectInput(
  inputId,
  label = NULL,
  choices = NULL,
  selected = NULL,
  multiple = FALSE,
  sep = NULL,
  options = list(),
  label_help = NULL,
  fixed = FALSE,
  fixed_on_single = FALSE,
  width = NULL
)

updateOptionalSelectInput(
  session,
  inputId,
  label = NULL,
  selected = NULL,
  choices = NULL
)

Arguments

inputId	The input slot that will be used to access the value.
label	Display label for the control, or NULL for no label.
choices	List of values to select from. If elements of the list are named then that name rather than the value is displayed to the user.
selected	The initially selected value (or multiple values if multiple = TRUE). If not specified then defaults to the first value for single-select lists and no values for multiple select lists.
multiple	Is selection of multiple items allowed?
sep	(character(1)) A separator string to split the choices or selected inputs into the values of the different columns.
options	List of options, see pickerOptions for all available options. To limit the number of selection possible, see example below.
label_help	(shiny.tag) optional, e.g. an object returned by shiny::helpText().
fixed	(logical(1)) optional, whether to block user to select choices.
fixed_on_single	(logical(1)) optional, whether to block user to select a choice when there is only one or less choice. When FALSE, user is still able to select or deselect the choice.
width	(character(1)) The width of the input passed to pickerInput e.g. 'auto', 'fit', '100px' or '75%'
session	(shiny.session)

Value

(shiny.tag) HTML tag with pickerInput widget and non-interactive element listing selected values.

Examples

library(shiny)

# Create a minimal example data frame
data <- data.frame(
  AGE = c(25, 30, 40, 35, 28),
  SEX = c("Male", "Female", "Male", "Female", "Male"),
  PARAMCD = c("Val1", "Val2", "Val3", "Val4", "Val5"),
  PARAM = c("Param1", "Param2", "Param3", "Param4", "Param5"),
  AVISIT = c("Visit1", "Visit2", "Visit3", "Visit4", "Visit5"),
  stringsAsFactors = TRUE
)

ui_grid <- function(...) {
  fluidPage(
    fluidRow(
      lapply(list(...), function(x) column(4, wellPanel(x)))
    )
  )
}

ui <- ui_grid(
  tags$div(
    optionalSelectInput(
      inputId = "c1",
      label = "Fixed choices",
      choices = LETTERS[1:5],
      selected = c("A", "B"),
      fixed = TRUE
    ),
    verbatimTextOutput(outputId = "c1_out")
  ),
  tags$div(
    optionalSelectInput(
      inputId = "c2",
      label = "Single choice",
      choices = "A",
      selected = "A"
    ),
    verbatimTextOutput(outputId = "c2_out")
  ),
  tags$div(
    optionalSelectInput(
      inputId = "c3",
      label = "NULL choices",
      choices = NULL
    ),
    verbatimTextOutput(outputId = "c3_out")
  ),
  tags$div(
    optionalSelectInput(
      inputId = "c4",
      label = "Default",
      choices = LETTERS[1:5],
      selected = "A"
    ),
    verbatimTextOutput(outputId = "c4_out")
  ),
  tags$div(
    optionalSelectInput(
      inputId = "c5",
      label = "Named vector",
      choices = c(`A - value A` = "A", `B - value B` = "B", `C - value C` = "C"),
      selected = "A"
    ),
    verbatimTextOutput(outputId = "c5_out")
  ),
  tags$div(
    selectInput(
      inputId = "c6_choices", label = "Update choices", choices = letters, multiple = TRUE
    ),
    optionalSelectInput(
      inputId = "c6",
      label = "Updated choices",
      choices = NULL,
      multiple = TRUE,
      fixed_on_single = TRUE
    ),
    verbatimTextOutput(outputId = "c6_out")
  )
)

server <- function(input, output, session) {
  observeEvent(input$c6_choices, ignoreNULL = FALSE, {
    updateOptionalSelectInput(
      session = session,
      inputId = "c6",
      choices = input$c6_choices,
      selected = input$c6_choices
    )
  })

  output$c1_out <- renderPrint(input$c1)
  output$c2_out <- renderPrint(input$c2)
  output$c3_out <- renderPrint(input$c3)
  output$c4_out <- renderPrint(input$c4)
  output$c5_out <- renderPrint(input$c5)
  output$c6_out <- renderPrint(input$c6)
}

if (interactive()) {
  shinyApp(ui, server)
}

---

if min or max are NA then the slider widget will be hidden

Description

Hidden input widgets are useful to have the input[[inputId]] variable on available in the server function but no corresponding visual clutter from input widgets that provide only a single choice.

Usage

optionalSliderInput(inputId, label, min, max, value, label_help = NULL, ...)

Arguments

inputId	The input slot that will be used to access the value.
label	Display label for the control, or NULL for no label.
min, max	The minimum and maximum values (inclusive) that can be selected.
value	The initial value of the slider, either a number, a date (class Date), or a date-time (class POSIXt). A length one vector will create a regular slider; a length two vector will create a double-ended range slider. Must lie between min and max.
label_help	(shiny.tag) optional object of class shiny.tag, e.g. an object returned by shiny::helpText()
...	optional arguments to sliderInput

Value

(shiny.tag) HTML tag with sliderInput widget.

Examples

optionalSliderInput("a", "b", 0, 1, 0.2)

---

For teal modules we parameterize an optionalSliderInput with one argument value_min_max

Description

The optionalSliderInput() function needs three arguments to determine whether to hide the sliderInput widget or not. For teal modules we specify an optional slider input with one argument here called value_min_max.

Usage

optionalSliderInputValMinMax(
  inputId,
  label,
  value_min_max,
  label_help = NULL,
  ...
)

Arguments

inputId	The input slot that will be used to access the value.
label	Display label for the control, or NULL for no label.
value_min_max	(numeric(1) or numeric(3)) If of length 1 then the value gets set to that number and the sliderInput will be hidden. Otherwise, if it is of length three the three elements will map to value, min and max of the optionalSliderInput() function.
label_help	(shiny.tag) optional object of class shiny.tag, e.g. an object returned by shiny::helpText()
...	optional arguments to sliderInput

Value

(shiny.tag) HTML tag with range sliderInput widget.

Examples

optionalSliderInputValMinMax("a", "b", 1)
optionalSliderInputValMinMax("a", "b", c(3, 1, 5))

---

Panel group widget

Description

Designed to group panel_item elements. Used to handle shiny inputs in the encoding panel.

Usage

panel_group(..., id = NULL)

Arguments

...	(shiny.tag) panels created by panel_group()
id	optional, (character)

Value

(shiny.tag)

Examples

library(shiny)
panel_group(
  panel_item(
    title = "Display",
    collapsed = FALSE,
    checkboxGroupInput(
      "check",
      "Tables display",
      choices = LETTERS[1:3],
      selected = LETTERS[1]
    ),
    radioButtons(
      "radio",
      label = "Plot type",
      choices = letters[1:2],
      selected = letters[1]
    )
  ),
  panel_item(
    title = "Pre-processing",
    radioButtons(
      "filtering",
      "What to filter",
      choices = LETTERS[1:4],
      selected = LETTERS[1]
    ),
    radioButtons(
      "na_action",
      "NA action",
      choices = letters[1:3],
      selected = letters[1]
    )
  )
)

---

Panel item widget

Description

Designed to be grouped using panel_group element. Used to handle shiny inputs in the encoding panel.

Usage

panel_item(title, ..., collapsed = TRUE, input_id = NULL)

Arguments

title	(character) title of panel
...	content of panel
collapsed	(logical) optional, whether to initially collapse panel
input_id	(character) optional name of the panel item element. If supplied, this will register a shiny input variable that indicates whether the panel item is open or collapsed and is accessed with input$input_id.

Value

(shiny.tag)

Examples

library(shiny)
panel_item(
  title = "Display",
  collapsed = FALSE,
  checkboxGroupInput(
    "check",
    "Tables display",
    choices = LETTERS[1:3],
    selected = LETTERS[1]
  ),
  radioButtons(
    "radio",
    label = "Plot type",
    choices = letters[1:2],
    selected = letters[1]
  )
)

---

Parses basic_table_args object into the basic_table expression

Description

A function to parse expression from the basic_table_args object.

Usage

parse_basic_table_args(basic_table_args = teal.widgets::basic_table_args())

Arguments

basic_table_args

(basic_table_args) This argument could be a result of the resolve_basic_table_args().

Value

(language) the rtables::basic_table() filled with additional arguments.

Examples

parse_basic_table_args(
  resolve_basic_table_args(
    user_table = basic_table_args(title = "TITLE"),
    user_default = basic_table_args(title = "DEFAULT_TITLE", subtitles = "SUBTITLE")
  )
)

---

Parse ggplot2_args object into the ggplot2 expression

Description

A function to parse expression from the ggplot2_args object.

Usage

parse_ggplot2_args(
  ggplot2_args = teal.widgets::ggplot2_args(),
  ggtheme = c("default", "gray", "bw", "linedraw", "light", "dark", "minimal", "classic",
    "void", "test")
)

Arguments

ggplot2_args	(ggplot2_args) This argument could be a result of the resolve_ggplot2_args().
ggtheme	(character(1)) name of the ggplot2 theme to be applied, e.g. "dark".

Value

(list) of up to three elements of class languange: "labs", "ggtheme" and "theme".

Examples

parse_ggplot2_args(
  resolve_ggplot2_args(ggplot2_args(
    labs = list(title = "TITLE"),
    theme = list(title = ggplot2::element_text(size = 20))
  ))
)

parse_ggplot2_args(
  resolve_ggplot2_args(
    ggplot2_args(
      labs = list(title = "TITLE"),
      theme = list(title = ggplot2::element_text(size = 20))
    )
  ),
  ggtheme = "gray"
)

---

Plot-with-settings module

Description

Universal module for plots with settings for height, width, and download.

Usage

plot_with_settings_ui(id)

plot_with_settings_srv(
  id,
  plot_r,
  height = c(600, 200, 2000),
  width = NULL,
  show_hide_signal = reactive(TRUE),
  brushing = FALSE,
  clicking = FALSE,
  dblclicking = FALSE,
  hovering = FALSE,
  graph_align = "left"
)

Arguments

id	(character(1)) shiny module id.
plot_r	(reactive or function) reactive expression or a simple function to draw a plot. A simple function is needed e.g. for base plots like plot(1) as the output can not be caught when downloading. Take into account that simple functions are less efficient than reactive, as not catching the result.
height	(numeric) optional vector with three elements c(VAL, MIN, MAX), where VAL is the starting value of the slider in the main and modal plot display. The value in the modal display is taken from the value of the slider in the main plot display.
width	(numeric) optional vector with three elements c(VAL, MIN, MAX), where VAL is the starting value of the slider in the main and modal plot display; NULL for default display. The value in the modal display is taken from the value of the slider in the main plot display.
show_hide_signal	optional, (⁠reactive logical⁠ a mechanism to allow modules which call this module to show/hide the plot_with_settings UI)
brushing	(logical) optional mechanism to enable / disable brushing on the main plot (in particular: not the one displayed in modal). All the brushing data is stored as a reactive object in the "brush" element of returned list. See the example for details.
clicking	(logical) a mechanism to enable / disable clicking on data points on the main plot (in particular: not the one displayed in modal). All the clicking data is stored as a reactive object in the "click" element of returned list. See the example for details.
dblclicking	(logical) optional mechanism to enable / disable double-clicking on data points on the main plot (in particular: not the one displayed in modal). All the double clicking data is stored as a reactive object in the "dblclick" element of returned list. See the example for details.
hovering	(logical(1)) optional mechanism to enable / disable hovering over data points on the main plot (in particular: not the one displayed in modal). All the hovering data is stored as a reactive object in the "hover" element of returned list. See the example for details.
graph_align	(character(1)) optional, one of "left" (default), "center", "right" or "justify". The alignment of the graph on the main page.

Details

By default the plot is rendered with ⁠72 dpi⁠. In order to change this, to for example 96 set options(teal.plot_dpi = 96). The minimum allowed dpi value is 24 and it must be a whole number. If an invalid value is set then the default value is used and a warning is outputted to the console.

Value

A shiny module.

Examples

# Example using a reactive as input to plot_r
library(shiny)
library(ggplot2)

ui <- fluidPage(
  plot_with_settings_ui(
    id = "plot_with_settings"
  )
)

server <- function(input, output, session) {
  plot_r <- reactive({
    ggplot(faithful, aes(x = .data$waiting, y = .data$eruptions)) +
      geom_point()
  })

  plot_with_settings_srv(
    id = "plot_with_settings",
    plot_r = plot_r,
    height = c(400, 100, 1200),
    width = c(500, 250, 750)
  )
}

if (interactive()) {
  shinyApp(ui, server)
}

# Example using a function as input to plot_r
library(lattice)

ui <- fluidPage(
  radioButtons("download_option", "Select the Option", list("ggplot", "trellis", "grob", "base")),
  plot_with_settings_ui(
    id = "plot_with_settings"
  ),
  sliderInput("nums", "Value", 1, 10, 1)
)

server <- function(input, output, session) {
  plot_r <- function() {
    numbers <- seq_len(input$nums)
    if (input$download_option == "ggplot") {
      ggplot(data.frame(n = numbers), aes(.data$n)) +
        geom_bar()
    } else if (input$download_option == "trellis") {
      densityplot(numbers)
    } else if (input$download_option == "grob") {
      tr_plot <- densityplot(numbers)
      ggplotGrob(
        ggplot(data.frame(n = numbers), aes(.data$n)) +
          geom_bar()
      )
    } else if (input$download_option == "base") {
      plot(numbers)
    }
  }

  plot_with_settings_srv(
    id = "plot_with_settings",
    plot_r = plot_r,
    height = c(400, 100, 1200),
    width = c(500, 250, 750)
  )
}

if (interactive()) {
  shinyApp(ui, server)
}

# Example with brushing/hovering/clicking/double-clicking
ui <- fluidPage(
  plot_with_settings_ui(
    id = "plot_with_settings"
  ),
  fluidRow(
    column(4, tags$h3("Brush"), verbatimTextOutput("brushing_data")),
    column(4, tags$h3("Click"), verbatimTextOutput("clicking_data")),
    column(4, tags$h3("DblClick"), verbatimTextOutput("dblclicking_data")),
    column(4, tags$h3("Hover"), verbatimTextOutput("hovering_data"))
  )
)

server <- function(input, output, session) {
  plot_r <- reactive({
    ggplot(faithful, aes(x = .data$waiting, y = .data$eruptions)) +
      geom_point()
  })

  plot_data <- plot_with_settings_srv(
    id = "plot_with_settings",
    plot_r = plot_r,
    height = c(400, 100, 1200),
    brushing = TRUE,
    clicking = TRUE,
    dblclicking = TRUE,
    hovering = TRUE
  )

  output$brushing_data <- renderPrint(plot_data$brush())
  output$clicking_data <- renderPrint(plot_data$click())
  output$dblclicking_data <- renderPrint(plot_data$dblclick())
  output$hovering_data <- renderPrint(plot_data$hover())
}

if (interactive()) {
  shinyApp(ui, server)
}

# Example which allows module to be hidden/shown
library("shinyjs")

ui <- fluidPage(
  useShinyjs(),
  actionButton("button", "Show/Hide"),
  plot_with_settings_ui(
    id = "plot_with_settings"
  )
)

server <- function(input, output, session) {
  plot_r <- plot_r <- reactive(
    ggplot(faithful, aes(x = .data$waiting, y = .data$eruptions)) +
      geom_point()
  )

  show_hide_signal_rv <- reactiveVal(TRUE)

  observeEvent(input$button, show_hide_signal_rv(!show_hide_signal_rv()))

  plot_with_settings_srv(
    id = "plot_with_settings",
    plot_r = plot_r,
    height = c(400, 100, 1200),
    width = c(500, 250, 750),
    show_hide_signal = reactive(show_hide_signal_rv())
  )
}

if (interactive()) {
  shinyApp(ui, server)
}

---

Resolves and reduces multiple basic_table_args objects

Description

Resolving and reducing multiple basic_table_args objects. This function is intended to utilize user provided settings, defaults provided by the module creator and also teal option. See Details, below, to understand the logic.

Usage

resolve_basic_table_args(
  user_table = basic_table_args(),
  user_default = basic_table_args(),
  module_table = basic_table_args(),
  app_default = getOption("teal.basic_table_args", basic_table_args())
)

Arguments

user_table	(basic_table_args) end user setup for rtables::basic_table() of a specific table. Created with the basic_table_args() function. The NULL value is supported.
user_default	(basic_table_args) end user default setup for rtables::basic_table() of a specific table. Created with the basic_table_args() function. The NULL value is supported.
module_table	(ggplot2_args) module creator setup for rtables::basic_table() of a specific table. Created with the basic_table_args() function. The NULL value is supported.
app_default	(basic_table_args) Application level setting. Can be NULL.

Details

The function picks the first non NULL value for each argument, checking in the following order:

1. basic_table_args argument provided by the end user. Per table (user_table) and then default (user_default) setup.

2. app_default global R variable, teal.basic_table_args.

3. module_table which is a module creator setup.

Value

basic_table_args object.

See Also

parse_basic_table_args() to parse resolved list into list of calls.

Examples

resolve_basic_table_args(
  user_table = basic_table_args(title = "TITLE"),
  user_default = basic_table_args(title = "DEFAULT_TITLE", subtitles = "SUBTITLE")
)

---

Resolving and reducing multiple ggplot2_args objects

Description

Resolving and reducing multiple ggplot2_args objects. This function is intended to utilize user provided settings, defaults provided by the module creator and also teal option. See Details, below, to understand the logic.

Usage

resolve_ggplot2_args(
  user_plot = ggplot2_args(),
  user_default = ggplot2_args(),
  module_plot = ggplot2_args(),
  app_default = getOption("teal.ggplot2_args", ggplot2_args())
)

Arguments

user_plot	(ggplot2_args) end user setup for theme and labs in the specific plot. Created with the ggplot2_args() function. The NULL value is supported.
user_default	(ggplot2_args) end user setup for module default theme and labs. Created with the ggplot2_args() function. The NULL value is supported.
module_plot	(ggplot2_args) module creator setup for theme and labs in the specific plot. Created with the ggplot2_args() function. The NULL value is supported.
app_default	(ggplot2_args) Application level setting. Can be NULL.

Details

The function picks the first non NULL value for each argument, checking in the following order:

1. ggplot2_args argument provided by the end user. Per plot (user_plot) and then default (user_default) setup.

2. app_default global R variable, teal.ggplot2_args.

3. module_plot which is a module creator setup.

Value

ggplot2_args object.

See Also

parse_ggplot2_args() to parse resolved list into list of calls.

Examples

resolve_ggplot2_args(
  user_plot = ggplot2_args(
    labs = list(title = "TITLE"),
    theme = list(title = ggplot2::element_text(size = 20))
  ),
  user_default = ggplot2_args(
    labs = list(x = "XLAB")
  )
)

---

Standard UI layout

Description

Create a standard UI layout with output on the right and an encoding panel on the left. This is the layout used by the teal modules.

Usage

standard_layout(
  output,
  encoding = NULL,
  forms = NULL,
  pre_output = NULL,
  post_output = NULL
)

Arguments

output	(shiny.tag) object with the output element (table, plot, listing) such as for example returned by shiny::plotOutput().
encoding	(shiny.tag) object containing the encoding elements. If this element is NULL then no encoding side panel on the right is created.
forms	(tagList) for example shiny::actionButton() that are placed below the encodings panel
pre_output	(shiny.tag) optional, with text placed before the output to put the output into context. For example a title.
post_output	(shiny.tag) optional, with text placed after the output to put the output into context. For example the shiny::helpText() elements are useful.

Value

an object of class shiny.tag with the UI code.

Examples

library(shiny)
standard_layout(
  output = white_small_well(tags$h3("Tests")),
  encoding = tags$div(
    tags$label("Encodings", class = "text-primary"),
    panel_item(
      "Tests",
      optionalSelectInput(
        "tests",
        "Tests:",
        choices = c(
          "Shapiro-Wilk",
          "Kolmogorov-Smirnov (one-sample)"
        ),
        selected = "Shapiro-Wilk"
      )
    )
  ),
  forms = tagList(
    verbatim_popup_ui("warning", "Show Warnings"),
    verbatim_popup_ui("rcode", "Show R code")
  )
)

---

table_with_settings module

Description

Module designed to create a shiny table output based on rtable object (ElementaryTable or TableTree) input.

Usage

table_with_settings_ui(id, ...)

table_with_settings_srv(id, table_r, show_hide_signal = reactive(TRUE))

Arguments

id	An ID string that corresponds with the ID used to call the module's UI function.
...	(character) Useful for providing additional HTML classes for the output tag.
table_r	(reactive) reactive expression that yields an rtable object (ElementaryTable or TableTree)
show_hide_signal	(⁠reactive logical⁠) optional mechanism to allow modules which call this module to show/hide the table_with_settings UI.

Value

A shiny module.

Examples

library(shiny)
library(rtables)
library(magrittr)

ui <- fluidPage(
  table_with_settings_ui(
    id = "table_with_settings"
  )
)

server <- function(input, output, session) {
  table_r <- reactive({
    l <- basic_table() %>%
      split_cols_by("ARM") %>%
      analyze(c("SEX", "AGE"))

    tbl <- build_table(l, DM)

    tbl
  })

  table_with_settings_srv(id = "table_with_settings", table_r = table_r)
}

if (interactive()) {
  shinyApp(ui, server)
}

---

A shiny module that pops up verbatim text.

Description

This module consists of a button that once clicked pops up a modal window with verbatim-styled text.

Usage

verbatim_popup_ui(id, button_label, type = c("button", "link"), ...)

verbatim_popup_srv(
  id,
  verbatim_content,
  title,
  style = FALSE,
  disabled = shiny::reactiveVal(FALSE)
)

Arguments

id	(character(1)) the shiny id
button_label	(character(1)) the text printed on the button
type	(character(1)) specifying whether to use ⁠[shiny::actionButton()]⁠ or ⁠[shiny::actionLink()]⁠.
...	additional arguments to ⁠[shiny::actionButton()]⁠(or ⁠[shiny::actionLink()]⁠).
verbatim_content	(character, expression, condition or reactive(1) holding any of the above) the content to show in the popup modal window
title	(character(1)) the title of the modal window
style	(logical(1)) whether to style the verbatim_content using styler::style_text. If verbatim_content is a condition or reactive holding condition then this argument is ignored
disabled	(reactive(1)) the shiny reactive value holding a logical. The popup button is disabled when the flag is TRUE and enabled otherwise.

Value

the UI function returns a shiny.tag.list object

Examples

library(shiny)

ui <- fluidPage(verbatim_popup_ui("my_id", button_label = "Open popup"))
srv <- function(input, output) {
  verbatim_popup_srv(
    "my_id",
    "if (TRUE) { print('Popups are the best') }",
    title = "My custom title",
    style = TRUE
  )
}
if (interactive()) shinyApp(ui, srv)

---

Small well class for HTML

Description

Adds Small Well class and overflow-x property to HTML output element.

Usage

white_small_well(...)

Arguments

...	other arguments to pass to tag object's div attributes.

Details

white_small_well is intended to be used with shiny::uiOutput(). The overflow-x property is set to auto so that a scroll bar is added when the content overflows at the left and right edges of the output window. For example, this is useful for displaying wide tables.

Value

An HTML output element with class Small Well and overflow-x property

Examples

white_small_well(shiny::htmlOutput("summary"))

---