shiny.semantic (version 0.4.3)

sidebar_panel: Creates div containing children elements of sidebar panel

Description

Creates div containing children elements of sidebar panel

Creates div containing children elements of main panel

Creates grid layout composed of sidebar and main panels

Usage

sidebar_panel(..., width = 1)
main_panel(..., width = 3)
sidebar_layout(
  sidebar_panel,
  main_panel,
  mirrored = FALSE,
  min_height = "auto",
  container_style = "",
  area_styles = list(sidebar_panel = "", main_panel = "")
)
sidebarPanel(..., width = 6)
mainPanel(..., width = 10)
sidebarLayout(
  sidebarPanel,
  mainPanel,
  position = c("left", "right"),
  fluid = TRUE
)

Value

Container with sidebar and main panels

Arguments

...

Container's children elements

width

Width of main panel container as relative value

sidebar_panel

Sidebar panel component

main_panel

Main panel component

mirrored

If TRUE sidebar is located on the right side, if FALSE - on the left side (default)

min_height

Sidebar layout container keeps the minimum height, if specified. It should be formatted as a string with css units

container_style

CSS declarations for grid container

area_styles

List of CSS declarations for each grid area inside

sidebarPanel

same as sidebar_panel

mainPanel

same as main_panel

position

vector with position of sidebar elements in order sidebar, main

fluid

TRUE to use fluid layout; FALSE to use fixed layout.

Examples

if (interactive()){
  library(shiny)
  library(shiny.semantic)
  ui <- semanticPage(
    titlePanel("Hello Shiny!"),
    sidebar_layout(
      sidebar_panel(
        shiny.semantic::sliderInput("obs",
                                    "Number of observations:",
                                    min = 0,
                                    max = 1000,
                                    value = 500),
                                    width = 3
      ),
      main_panel(
        plotOutput("distPlot"),
        width = 4
      ),
      mirrored = TRUE
    )
  )
  server <- function(input, output) {
    output$distPlot <- renderPlot({
      hist(rnorm(input$obs))
    })
  }
  shinyApp(ui, server)
}