#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
#    http://shiny.rstudio.com/
#

## This app puts the slider and the output in a set of layout functions.  These
## can be quite elaborate but will permit more sophisticated interfaces.

## Instructions:
## * Move the changes you made for app1 into these sidebarLayout functions.
## * In the sidebar, add a link to an image--the MTU logo at https://upload.wikimedia.org/wikipedia/en/c/c9/Michigan_Technological_University_logo.svg
## * In the sidebar, add formatting for an html link to http://mtu.edu
## * in the sidebar, add other formatted text, headers, links
## * Add a locally stored (server-side) image, by putting it in the www\ folder and referring to it.

library(shiny)
library(ggplot2)
library(ggExtra)
vals <- rnorm(5000)

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

    # Application title
    titlePanel("Random distribution generation"),

    # Sidebar with a slider input for number of bins 
    sidebarLayout(
        sidebarPanel(
            sliderInput("bins",
                        "Number of bins:",
                        min = 1,
                        max = 50,
                        value = 30)

        ),

        # Show a plot of the generated distribution
        mainPanel(
           plotOutput("distPlot")
        )
    )
)

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

    output$distPlot <- renderPlot({
      
      x    <- runif(1000)
      # draw the histogram with the specified number of bins
      a <- as.data.frame(x) |> ggplot(aes(x=x)) +geom_histogram(bins=input$bins,fill="orange2",color="black") + theme_bw()
      b <- as.data.frame(x) |> ggplot(aes(sample=x)) + geom_qq() + theme_bw()
      grid.arrange(a,b,ncol=2)
      
    })
}

# Run the application 
shinyApp(ui = ui, server = server)