Question

library(shiny)
library(shinythemes)
ui <- fluidPage(
 sidebarLayout(
  sidebarPanel(radioButtons(
   "fiscal","Quarter:",c("2015Q1","2015Q2","2015Q3","2015Q4","2016Q1"))),                    
    mainPanel({
     plotOutput('plot')
    })))
 server <- function (input , output  )
{
myread <- function ()  
{ 
inFile <- input$file1
if (is.null(inFile))
return(NULL)
mydata <- read.csv(inFile$datapath)
return (mydata)
}

plotType <- function(type) 
{
  switch(type)
         Q12015 <- { mydataq1 <- reactive (myread())
                   x <- reactive(data.frame(mydataq1()))
                    y <- reactive ({x()[x()$Fiscal.Quarter=="2015Q1",]
                  resources <- factor (y()$Resource.Name)
           stan <- tapply (y()$Standard.Hours,resources, sum , na.rm=TRUE)
           bil <- tapply (y()$Billable.Hours,resources, sum , na.rm=TRUE)
           bu <- bil*100 / stan
           mp <- barplot (bu,col=colors(27),las=2,yaxt="n",ylim=c(0,200))
           bu<- round(bu,2)
           text(mp, bu,labels=bu, pos = 3)
         })
         output$plot <- renderPlot ({ y () })

         }
         Q22015= { mydataq1 <- reactive (myread())
         x <- reactive(data.frame(mydataq1()))
         y <- reactive ({x()[x()$Fiscal.Quarter=="2015Q2",]
           resources <- factor (y()$Resource.Name)
           stan <- tapply (y()$Standard.Hours,resources, sum , na.rm=TRUE)
           bil <- tapply (y()$Billable.Hours,resources, sum , na.rm=TRUE)
           bu <- bil*100 / stan
           mp <- barplot (bu,col=colors(27),las=2,yaxt="n",ylim=c(0,200))
           bu<- round(bu,2)
           text(mp, bu,labels=bu, pos = 3)
         })
         output$plot <- renderPlot ({ y () })

         }
         Q32015 = { mydataq1 <- reactive (myread())
         x <- reactive(data.frame(mydataq1()))
         y <- reactive ({x()[x()$Fiscal.Quarter=="2015Q3",]
           resources <- factor (y()$Resource.Name)
           stan <- tapply (y()$Standard.Hours,resources, sum , na.rm=TRUE)
           bil <- tapply (y()$Billable.Hours,resources, sum , na.rm=TRUE)
           bu <- bil*100 / stan
           mp <- barplot (bu,col=colors(27),las=2,yaxt="n",ylim=c(0,200))
           bu<- round(bu,2)
           text(mp, bu,labels=bu, pos = 3)
         })
         output$plot <- renderPlot ({ y () })

         }
      Q42015={
        mydataq1 <- reactive (myread())
        x <- reactive(data.frame(mydataq1()))
        y <- reactive ({x()[x()$Fiscal.Quarter=="2015Q4",]
          resources <- factor (y()$Resource.Name)
          stan <- tapply (y()$Standard.Hours,resources, sum , na.rm=TRUE)
          bil <- tapply (y()$Billable.Hours,resources, sum , na.rm=TRUE)
          bu <- bil*100 / stan
          mp <- barplot (bu,col=colors(27),las=2,yaxt="n",ylim=c(0,200))
          bu<- round(bu,2)
          text(mp, bu,labels=bu, pos = 3)
        })
        output$plot <- renderPlot ({ y () })
      }   
       Q12016={
      mydataq1 <- reactive (myread())
      x <- reactive(data.frame(mydataq1()))
      y <- reactive ({x()[x()$Fiscal.Quarter=="2015Q4",]
        resources <- factor (y()$Resource.Name)
        stan <- tapply (y()$Standard.Hours,resources, sum , na.rm=TRUE)
        bil <- tapply (y()$Billable.Hours,resources, sum , na.rm=TRUE)
        bu <- bil*100 / stan
        mp <- barplot (bu,col=colors(27),las=2,yaxt="n",ylim=c(0,200))
        bu<- round(bu,2)
        text(mp, bu,labels=bu, pos = 3)
      })
      output$plot <- renderPlot ({ y () })
    }
}

plotType(input$fiscal)

}
shinyApp(ui=ui ,server=server)

我已经编辑了我的代码。立即收到以下错误： -

.getReactiveEnvironment（）$ currentContext（）中的错误：没有活动的反应上下文，不允许操作。（你试图做一些只能在反应式表达式或观察者内部完成的事情。）**

Answer 1

由于您没有准确说明为什么需要不同图表的不同选项卡，因此用户只需查看他们选择的季度的图表就更容易了。

您的问题似乎是读入和格式化的数据，您应该能够轻松调整下面的解决方案以满足您的确切需求。如果您有更具体的要求，请更新您的问题并提供可重复的示例。

library(shiny)

ui <- fluidPage(
  sidebarLayout(
    sidebarPanel(
      textInput("file1", label = "Input File"),
      actionButton("loadFile", "Load"),
      radioButtons("fiscal", "Quarter:", c("2015Q1","2015Q2","2015Q3","2015Q4","2016Q1"))
      ),
    mainPanel({
      plotOutput("plot")
    })
  )
)

server <- function (input, output){
  mydata <- eventReactive(input$loadFile, {
    validate(
      need(input$file1, "Enter a valid filename!")
    )
    read.csv(input$file1)
  })

  output$plot <- renderPlot({
    x <- mydata()
    y <- x[x$Fiscal.Quarter == input$fiscal, ]
    resources <- factor(y$Resource.Name)
    stan <- tapply(y$Standard.Hours, resources, sum, na.rm = TRUE)
    bil <- tapply(y$Billable.Hours, resources, sum, na.rm = TRUE)
    bu <- bil*100 / stan
    mp <- barplot (bu, col = colors(27), las = 2, yaxt = "n", ylim = c(0,200))
    bu<- round(bu, 2)
    text(mp, bu, labels = bu, pos = 3)
  })

}
shinyApp(ui = ui, server = server)

R编程和闪亮的应用程序

1 个答案: