Example app.R script for RShiny. Check out the blog post here - https://www.dabbleofdevops.com/blog/deploy-your-rshiny-app-locally-with-docker

app.R

#!/usr/bin/env Rscript

# This example comes from the r-shiny examples github repo.
# https://github.com/rstudio/shiny-examples/blob/master/001-hello/app.R

library(shiny)



# Define UI for app that draws a histogram ----
ui <- fluidPage(

  # App title ----
  titlePanel("Hello Shiny!"),

  # Sidebar layout with input and output definitions ----
  sidebarLayout(

    # Sidebar panel for inputs ----
    sidebarPanel(

      # Input: Slider for the number of bins ----
      sliderInput(inputId = "bins",
                  label = "Number of bins:",
                  min = 1,
                  max = 50,
                  value = 30)

    ),

    # Main panel for displaying outputs ----
    mainPanel(

      # Output: Histogram ----
      plotOutput(outputId = "distPlot")

    )
  )
)


# Define server logic required to draw a histogram ----
server <- function(input, output) {

  # Histogram of the Old Faithful Geyser Data ----
  # with requested number of bins
  # This expression that generates a histogram is wrapped in a call
  # to renderPlot to indicate that:
  #
  # 1. It is "reactive" and therefore should be automatically
  #    re-executed when inputs (input$bins) change
  # 2. Its output type is a plot
  output$distPlot <- renderPlot({

    x    <- faithful$waiting
    bins <- seq(min(x), max(x), length.out = input$bins + 1)

    hist(x, breaks = bins, col = "#75AADB", border = "white",
         xlab = "Waiting time to next eruption (in mins)",
         main = "Histogram of waiting times")

    })

}

# If you want to automatically reload the app when your codebase changes - should be turned off in production
options(shiny.autoreload = TRUE)

options(shiny.host = '0.0.0.0')
options(shiny.port = 8080)

# Create Shiny app ---- 
shinyApp(ui = ui, server = server)