mirror of
https://github.com/agdamsbo/daDoctoR.git
synced 2024-11-22 03:40:23 +01:00
93 lines
2.0 KiB
R
93 lines
2.0 KiB
R
#'
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#' This is a Shiny web application. You can run the application by clicking
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#' the 'Run App' button above.
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#'
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#' Find out more about building applications with Shiny here:
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#'
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#' http://shiny.rstudio.com/
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#'
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#'
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#' User requests:
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#'
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#' - Proper labelling of chart
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library(shiny)
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library(ggplot2)
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source("https://raw.githubusercontent.com/agdamsbo/daDoctoR/master/R/hwe_geno.R")
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# Define server logic required to draw a histogram
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server <- function(input, output, session) {
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cale <- reactive({
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as.numeric(input$ale)
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})
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dat<-reactive({
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df<-data.frame(lbls=c("MM","MN","NN","MO","NO","OO"),
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value=rbind(input$mm,input$mn,input$nn,input$mo,input$no,input$oo),
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stringsAsFactors = FALSE)
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print(df)
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df
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})
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cmm <- reactive({
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as.numeric(input$mm)
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})
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cmn <- reactive({
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as.numeric(input$mn)
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})
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cnn <- reactive({
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as.numeric(input$nn)
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})
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cmo <- reactive({
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as.numeric(input$mo)
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})
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cno <- reactive({
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as.numeric(input$no)
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})
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coo <- reactive({
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as.numeric(input$oo)
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})
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hwe_p <- function() ({ hwe_geno(cmm(),cmn(),cnn(),cmo(),cno(),coo(),alleles=cale()) })
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output$allele.tbl <- renderTable({ hwe_p()$allele.dist })
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output$obs.tbl <- renderTable({ hwe_p()$observed.dist })
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output$exp.tbl <- renderTable({ hwe_p()$expected.dist })
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output$chi.val <- renderTable({ hwe_p()$chi.value })
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output$p.val <- renderTable({ hwe_p()$p.value })
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output$allele.dist <- renderText({"Allele distribution"})
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output$obs.dist <- renderText({"Observed distribution"})
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output$exp.dist <- renderText({"Expected distribution"})
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output$chi <- renderText({"Chi square value"})
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output$p <- renderText({"P value"})
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output$geno.pie.plt<- renderPlot({
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ggplot(dat(), aes(x="", y=value, fill=lbls))+
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geom_bar(width = 1, stat = "identity")+
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coord_polar("y", start=0)+
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scale_fill_brewer(palette="Dark2")
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})
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output$geno.pie.ttl <- renderText({"Genotype distribution"})
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}
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# Run the application
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shinyApp(ui = ui, server = server)
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