mirror of
https://github.com/agdamsbo/daDoctoR.git
synced 2024-11-24 12:41:54 +01:00
97 lines
2.2 KiB
R
97 lines
2.2 KiB
R
#'
|
|
#' 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/
|
|
#'
|
|
#'
|
|
#' User requests:
|
|
#'
|
|
#' - Proper labelling of chart
|
|
|
|
library(shiny)
|
|
library(ggplot2)
|
|
source("https://raw.githubusercontent.com/agdamsbo/daDoctoR/master/R/hwe_geno.R")
|
|
|
|
# source("https://raw.githubusercontent.com/agdamsbo/daDoctoR/master/inst/shiny-examples/hwe_calc/ui.R")
|
|
# source(list.files(system.file("shiny-examples", "hwe_calc", package = "daDoctoR"), pattern="ui.R", full.names=TRUE))
|
|
|
|
# Define server logic required to draw a histogram
|
|
|
|
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"})
|
|
}
|
|
|
|
# Run the application
|
|
|
|
shinyApp(ui = ui, server = server)
|
|
|