library(debrowser)
header <- dashboardHeader(
title = "DEBrowser IQR Plots"
)
sidebar <- dashboardSidebar( sidebarMenu(id="DataAssessment",
menuItem("IQR", tabName = "IQR"),
textInput("maxCutoff", "Max Cutoff", value = "10" ),
plotSizeMarginsUI("IQR", w=400, h=400),
plotSizeMarginsUI("afterFiltering", w=400, h=400)
))
body <- dashboardBody(
tabItems(
tabItem(tabName="IQR",
fluidRow(
column(5,
getIQRPlotUI("IQR")),
column(5,
getIQRPlotUI("afterFiltering"))
))
))
ui <- dashboardPage(header, sidebar, body, skin = "blue")
server <- function(input, output, session) {
load(system.file("extdata", "demo", "demodata.Rda",
package = "debrowser"))
filtd <- reactive({
# Filter out the rows that has maximum 100 reads in a sample
subset(demodata, apply(demodata, 1, max, na.rm = TRUE) >=
as.numeric(input$maxCutoff))
})
observe({
if(!is.null(filtd())){
callModule(debrowserIQRplot, "IQR", demodata)
callModule(debrowserIQRplot, "afterFiltering", filtd())
}
})
}
shinyApp(ui, server)
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