R闪亮 - 弹出窗口可选

时间:2015-08-26 12:12:42

标签: r shiny rmysql

我正在创建一个查询SQL数据库的闪亮应用程序。如果查询的数据在两个日期有条目,我想警告用户。此外,我希望用户能够选择要查询的数据集。这是一个例子:

服务器

# Create example data

set.seed(10)
MeasurementA <- rnorm(1000, 5, 2)
MeasurementB <- rnorm(1000, 5, 2)
Wafer <- rep(c(1:100), each=10)
ID <- rep(c(101:200), each=10)
Batch <- rep(LETTERS[seq(from=1, to =10)], each=100)
Date <- rep(seq(as.Date("2001-01-01"), length.out = 100, by="1 day"), each=10)

# Add data for Wafer 1 with a new date

W2 <- rep(1, each=10)
ID2 <- rep(101, each=10)
Batch2 <- rep("A", each=10)
Date2 <- rep(as.Date("2001-04-11"), each=10)
MA2 <- rnorm(10, 5, 2)
MB2 <- rnorm(10, 5, 2)

df <- data.frame(Batch, Wafer, ID, MeasurementA, MeasurementB, Date)
ee <- data.frame(Batch2, W2, ID2, MA2, MB2, Date2)
colnames(ee) <- c("Batch", "Wafer", "ID", "MeasurementA", "MeasurementB", "Date")

# Data frame now how two sets of date for Wafer 1 on different dates
dd <- rbind(df, ee)
dd$Date <- factor(dd$Date)


# Create local connection (in reality this will be a connection to a host site)

con <- dbConnect(RSQLite::SQLite(), ":memory:")
dbWriteTable(con, "dd", dd)
query <-  function(...) dbGetQuery(con, ...)

# Create empty data frames to populate

wq = data.frame()
sq = data.frame()

shinyServer(function(input, output){

  # create data frame to store reactive data set from query
  values <- reactiveValues()
  values$df <- data.frame()

  # Action button for first query
  d <- eventReactive(input$do, { input$wafer })

  # First stage of reactive query
  a <- reactive({ paste("Select ID from dd where Wafer=",d(), sep="") })

  wq <- reactive({  query( a() ) })

  # Output to confirm query is correct
  output$que <- renderPrint({ a() }) 
  output$pos <- renderPrint( wq()[1,1] )  

  # Action button to add results from query to a data frame
  e <- eventReactive(input$do2, { wq()[1,1] })

  b <- reactive({ paste("select cast(Wafer as varchar) as Wafer, cast(Batch as varchar) as Batch, MeasurementA, MeasurementB, Date from dd where ID=",e()," Order by  ID asc ;", sep="") })

  # observe e() so that data is not added until user presses action button  
  observe({
    if (!is.null(e())) {
      sq <- reactive({  query( b() ) })

      # add query to reactive data frame
      values$df <- rbind(isolate(values$df), sq())
    }
  })



  asub <- eventReactive(input$do3,{subset(values$df, MeasurementA > input$Von[1] & MeasurementA < input$Von[2] )})

  observeEvent(input$do4, {

    values$df <- NULL

  })

  output$boxV <- renderPlot({
    ggplot(asub(), aes_string('Wafer', input$char, fill='Batch')) + geom_boxplot() 
  })

  })

UI

shinyUI(fluidPage(
  titlePanel("Generic grapher"),
  sidebarLayout(
    sidebarPanel(

      numericInput("wafer", label = h3("Input wafer ID:"), value = NULL),

      actionButton("do", "Search wafer"),
      actionButton("do2", "Add to data frame"),
      actionButton("do3", "Show"),
      actionButton("do4", "Clear"),
      selectInput("char", label="Boxplot choice:",
                  choices = list("A"="MeasurementA", "B"="MeasurementB"),                            
                  selected="Von.fwd"),
      sliderInput("Von", label = "A range:",
                  min=0, max=10, value=c(0,10), step=0.1)

      ),

      mainPanel(
        verbatimTextOutput("que"), 
        verbatimTextOutput("pos"),
        plotOutput("boxV")
        #dataTableOutput(outputId="posi")
      )
    )
  )
)

在上面,如果你搜索晶圆&#34; 1&#34;它绘制了所有数据,即使晶圆1有两个日期(这是预期的)。所以当我点击&#34;搜索晶圆&#34;如果该晶圆存在两个日期,我可以获得一个弹出窗口。到目前为止,我已经读过这个:

Add a popup with error, warning to shiny

和此:

Create a pop-up menu with right click about an object

这显示我可以发出警告信息(虽然我还没有尝试过这样做)。但我想知道是否有一些方法可以使弹出窗口交互,以便选择所需的日期。也许我应该联系shinyBS的创建者,这看起来像我最好的选择?

1 个答案:

答案 0 :(得分:6)

我创建了一个示例应用程序,它可以为您提供有关如何使用警报的详细介绍。我们没有使用shinyBS包中的警报,但我使用session$sendCustomMessage来发送带有alert功能的消息。我在代码中添加了一些注释,所以看看。请注意,我使用sub函数通过将my表达式替换为字符串的 SOMETHING 部分来创建所需的文本。

rm(list = ls())
library(shiny)
library(DT)

ui <- fluidPage(

  # Inlcude the line below in ui.R so you can send messages
  tags$head(tags$script(HTML('Shiny.addCustomMessageHandler("jsCode",function(message) {eval(message.value);});'))),
  titlePanel("Pop-up Alerts"),
  sidebarPanel(
    sliderInput("my_slider", "Range Slider:", min = 0, max = 150, value = 40, step=1),
    dateInput('my_daterange',label = '',value = Sys.Date()),
    actionButton("run","Execute")),
  mainPanel(DT::dataTableOutput('tbl'))
)

server <- function(input, output, session) {

  # Alert below will trigger if the slider is over 100
  observe({
    if(input$my_slider >= 100)
    {
      my_slider_check_test <- "Your slider value is above 100 - no data will be displayed"
      js_string <- 'alert("SOMETHING");'
      js_string <- sub("SOMETHING",my_slider_check_test,js_string)
      session$sendCustomMessage(type='jsCode', list(value = js_string))
    }
  })


  # Alert below about dates will notify you if you selected today
  observe({
    if (is.null(input$run) || input$run == 0){return()}
    isolate({
      input$run
      if(input$my_daterange == Sys.Date())
      {
        my_date_check_test <- "Today Selected"
        js_string <- 'alert("SOMETHING");'
        js_string <- sub("SOMETHING",my_date_check_test,js_string)
        session$sendCustomMessage(type='jsCode', list(value = js_string))
      }
      # Alert will also trigger and will notify about the dates
      if(input$my_daterange == Sys.Date())
      {
        my_date_check_test <- paste0("You selected: ",input$my_daterange)
        js_string <- 'alert("SOMETHING");'
        js_string <- sub("SOMETHING",my_date_check_test,js_string)
        session$sendCustomMessage(type='jsCode', list(value = js_string))
      }

    })
  })

  my_data <- reactive({

    if(input$run==0){return()}
    isolate({
      input$run
      if(input$my_slider >= 100)
      {
        # Alert below will trigger if you adjusted the date but slider is still 100
        my_slider_check_test <- "Slider is still over 100"
        js_string <- 'alert("SOMETHING");'
        js_string <- sub("SOMETHING",my_slider_check_test,js_string)
        session$sendCustomMessage(type='jsCode', list(value = js_string))
      }
      if(input$my_slider < 100)
      {
        iris[1:input$my_slider,]
      }
    })  
})
output$tbl = DT::renderDataTable(my_data(), options = list(lengthChange = FALSE))
}

shinyApp(ui = ui, server = server)

某些弹出窗口的下方输出位于IEGoogle Chrome会有所不同:

#1滑动超过100警告 One

#2日期:今天选择 enter image description here

#3日期:只需打印日期提醒 enter image description here

#4警告显示滑块仍然超过100 enter image description here

#5如果滑块低于100,则表格输出

enter image description here