如何存储闪亮的R设置并从文件中加载它们

时间:2018-06-30 20:43:40

标签: r shiny

我试图以闪亮的方式存储和加载用户选择的设置,但无法使其正常工作。 dputdget()函数似乎可以正常工作,但是用户界面没有更新。我想念什么?

library(shiny)

outputDir <- "responses"

saveData <- function(inData) {
  # Create a unique file name
  fileName <- sprintf("%s_%s.txt", as.integer(Sys.time()), digest::digest(inData))
  # Write the file to the local system
  dput(inData, file = paste0(outputDir, '/', fileName))
}

# Define UI for app that draws a histogram ----
ui <- fluidPage(

  # App title ----
  titlePanel("Hello Shiny!"),

  # Sidebar layout with input and output definitions ----
  sidebarLayout(

    # Sidebar panel for inputs ----
    sidebarPanel(

      # Input: Slider for the number of bins ----
      sliderInput(inputId = "bins",
                  label = "Number of bins:",
                  min = 1,
                  max = 50,
                  value = 30),

      selectInput("columns", "Select columns to exclude From gather", multiple = T, 
                  choices = c('choice1', 'choice2','choice3')),

      actionButton('submit', "Save inputs"),

      actionButton('load', "Load inputs")

    ),

    # Main panel for displaying outputs ----
    mainPanel(

      # Output: Histogram ----
      plotOutput(outputId = "distPlot")

    )
  )
)

# Define server logic required to draw a histogram ----
server <- function(input, output, session) {

  AllInputs <- reactive({
    reactiveValuesToList(input)
  })

  observeEvent(input$submit, {
    saveData(AllInputs())
  })

  observeEvent(input$load,{
    files <- list.files(outputDir, full.names = TRUE)
    inData <- dget(file = files)
    for (i in 1:length(inData)) {
      session$sendInputMessage(names(inData)[i], list(inData[[names(inData)[i]]]))
    }
  })

  # Histogram of the Old Faithful Geyser Data ----
  # with requested number of bins
  # This expression that generates a histogram is wrapped in a call
  # to renderPlot to indicate that:
  #
  # 1. It is "reactive" and therefore should be automatically
  #    re-executed when inputs (input$bins) change
  # 2. Its output type is a plot
  output$distPlot <- renderPlot({

    x    <- faithful$waiting
    bins <- seq(min(x), max(x), length.out = input$bins + 1)

    hist(x, breaks = bins, col = "#75AADB", border = "white",
         xlab = "Waiting time to next eruption (in mins)",
         main = "Histogram of waiting times")

  })

}

shinyApp(ui, server)

0 个答案:

没有答案