server <- function(input, output, session) {
  
  cale <- reactive({
    as.numeric(input$ale)
  })
  
  dat<-reactive({
    df<-data.frame(lbls=c("MM","MN","NN","MO","NO","OO"),
                   value=rbind(input$mm,input$mn,input$nn,input$mo,input$no,input$oo),
                   stringsAsFactors = FALSE)
    print(df)
    df
  })
  
  cmm <- reactive({
    as.numeric(input$mm)
  })
  
  cmn <- reactive({
    as.numeric(input$mn)
  })
  
  cnn <- reactive({
    as.numeric(input$nn)
  })
  
  cmo <- reactive({
    as.numeric(input$mo)
  })
  
  cno <- reactive({
    as.numeric(input$no)
  })
  
  coo <- reactive({
    as.numeric(input$oo)
  })
  
  hwe_p <- function() ({ hwe_geno(cmm(),cmn(),cnn(),cmo(),cno(),coo(),alleles=cale()) })
  
  output$allele.tbl <- renderTable({ hwe_p()$allele.dist })
  
  output$obs.tbl <- renderTable({ hwe_p()$observed.dist })
  
  output$exp.tbl <- renderTable({ hwe_p()$expected.dist })
  
  output$chi.val <- renderTable({ hwe_p()$chi.value })
  
  output$p.val <- renderTable({ hwe_p()$p.value })
  
  output$allele.dist <- renderText({"Allele distribution"})
  
  output$obs.dist <- renderText({"Observed distribution"})
  
  output$exp.dist <- renderText({"Expected distribution"})
  
  output$chi <- renderText({"Chi square value"})
  
  output$p <- renderText({"P value"})
  
  output$geno.pie.plt<- renderPlot({
    ggplot(dat(), aes(x="", y=value, fill=lbls))+
      geom_bar(width = 1, stat = "identity")+ 
      coord_polar("y", start=0)+ 
      scale_fill_brewer(palette="Dark2")
  })
  
  output$geno.pie.ttl <- renderText({"Genotype distribution"})
}