#
# 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/
#

## Instructions:

## Now that we have a reactive data element, let's make another plot and a table, all
## using the same data. As long as the data doesn't get regenerated, we can use interface 
## elements to change the graphing.
##  * Create an output table that shows the summary statistics of your distribution. Use renderTable.
##  * Add a text output that gets set when you change the distribution, so that it says "using x distribution with a mean of x and standard devation of x". Use renderText
## For these two new elements, be sure to add them to your interface, either in the mainPanel or sidebarPanel.


library(shiny)
library(ggplot2)



# 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),
      selectInput("type",label="Select form of distribution",
                  choices=c("normal","uniform")),
      numericInput("number","Number of samples",500,min=100,max=10000,step=100,width='100%'),
      
      
      tags$a("Link to wikipedia",href="http://en.wikipedia.org"),
      tags$p(),
      tags$hr(),
      tags$a( tags$img(src="https://upload.wikimedia.org/wikipedia/en/c/c9/Michigan_Technological_University_logo.svg"),
              href="http://mtu.edu")
    ),
    
    # Show a plot of the generated distribution
    mainPanel(
      h1("Histograms"),
      plotOutput("distPlot",width=350,height=300),
      plotOutput("distPlot2",width=350, height=300)
    )
  )
)



# Define server logic required to draw a histogram
server <- function(input, output) {
  
  ##put reactive data element here:
  data <- reactive(
    {
      if( input$type=="normal")
      {
        x    <-  rnorm(input$number)  
      }else if(input$type=="uniform")
      {
        x    <-  runif(input$number)  
      }
      x
    }
  )
  
  
  output$distPlot <- renderPlot({
    n <- input$number
    
    if(input$type=="uniform")
    {
      x    <- runif(n)
    } else if(input$type=="normal")
    {
      x    <-  rnorm(n)
    } else{
      x <- 1:n
    }
    
    # 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()
    print(a)
  })
  
  
  output$distPlot2 <- renderPlot({
    x <- data()
    # draw the histogram with the specified number of bins
    a <- as.data.frame(x) |> ggplot(aes(x=x)) +geom_histogram(bins=input$bins,fill="navy",color="black") + theme_bw()
    print(a)
  })
  
  
  
}

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