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我的问题与“value4”有关，它是下面代码中的一个值框。

我创建了一个选择输入，允许用户根据该名称选择一个名称，我希望应用程序找到与所选名称关联的项目数（项目数 =“X..setup”），然后在 valuebox("value4") 中显示项目总数。

我遇到的问题是获得所有项目的总和。请在下面找到我的代码：

    setups <- read.csv("C:/Users/obria/Desktop/setUps/setUp.csv",stringsAsFactors = F, header = TRUE)
View(setups)
head(setups)
searchDF <- setups[c(1,2,3,4,7,8,9,10,11)]
#lst.Owners <- as.list(unique(setups$Owners))
lst.Owners = as.character(setups$Owners)
Owners <- unique(lst.Owners)

userInput <- sum(str_count(setups$Over.all.Status.of.Project,"WIP")) %>% groub_by(Owners)

install.packages("dplyr")
install.packages("ggplot2")
library(ggplot2)
library(dplyr)
library(shiny)
library(shinydashboard)
library(stringr)
library (DT)

ui = dashboardPage(
  #Header
  dashboardHeader(title = "Set ups dashboard"),

  #Sidebar
  dashboardSidebar(
    sidebarMenu(
      menuItem("Dashboard", tabName = "dashboard"),
      menuItem("Search", tabName = "search"),
      menuItem("Break Down", tabName = "breakDown")
    )
  ),

  #Body
  dashboardBody(tabItems(
    # First tab content
    tabItem(tabName = "dashboard",
            fluidRow(
              valueBoxOutput("value1")
              ,valueBoxOutput("value2")
              ,valueBoxOutput("value3"),

              fluidRow(
                box(
                  title= "Owner Vs Set Ups"
                  ,status = "primary"
                  ,solidheader = TRUE
                  ,collapsible = TRUE
                  ,plotOutput("nameStatus", height = "300px")
                )
                ,box(
                  title= " Pant Vs Set Ups"
                  ,status = "primary"
                  ,solidheader = TRUE
                  ,collapsible = TRUE
                  ,plotOutput("plantSetUps", height = "300px"))))
    ),
    # Second tab content #
    tabItem(tabName = "search",
            fluidRow(
              h2("Search Set ups"),
              DT::dataTableOutput("mytable")
            )),

    # Third tab content #
    tabItem(tabName = "breakDown",
              h2("Search Set ups"),
            fluidRow(
              box(
              selectInput("selectVariable", "Select Variable:",
                          choices = Owners, 
                          selected = 1))),
            fluidRow(
              valueBoxOutput("value4")
            ))))
)
server = function(input, output) {

  # Get some data #

  # Total Set ups #
  totalSetUps <- sum(setups$X..setups)

  # Number of WIPs #
  workIP1 <- sum(str_count(setups$Over.all.Status.of.Project,"WIP"))
  workIP2 <- sum(str_count(setups$Over.all.Status.of.Project,"wip"))
  workInProgress <- (workIP1 + workIP2)

  # Number of Outstanding #
  outstanding <- sum(str_count(setups$Over.all.Status.of.Project,"Outstanding"))

  # Colonia - Test Val;ue box #
  #colonia <- sum(str_count(setups$Plant,"Colonia"))

  setUpByName <- reactive ({
    setups %>%
      filter(Owners == input$selectVariable) %>%
      sum(.$X..setups)
  })
  # Create the valueBoxOutput Content #
  output$value1 <- renderValueBox({
    valueBox(
      format(totalSetUps, format="d", big.mark=",")
      ,"Total Number of Set Ups"
      ,icon = icon("stats",lib="glyphicon")
      ,color = "purple")
  })
  output$value2 <- renderValueBox({
    valueBox(
      format(workInProgress, format="d", big.mark=",")
      ,"No. of project that are WIP"
      ,icon = icon("gbp",lib="glyphicon")
      ,color = "green")
  })
  output$value3 <- renderValueBox({
    valueBox(
      format(outstanding, format="d", big.mark=",")
      ,"No. of project that are Outstanding"
      ,icon = icon("menu-hamburger",lib="glyphicon")
      ,color = "yellow")
  })
  output$value4 <- renderValueBox({
    valueBox(
      format(setUpByName(), format="d", big.mark=",")
      ,"total # Set ups"
      ,icon = icon("menu-hamburger",lib="glyphicon")
      ,color = "yellow")
  })

  # Creating plot output content #
  output$nameStatus <- renderPlot({
    ggplot(data = setups, 
           aes(x=setups$Owners, y=setups$X..setup, fill=factor(Over.all.Status.of.Project))) + 
      geom_bar(position = "dodge", stat = "identity") + ylab("No. of Set ups") + 
      xlab("Owners") + theme(legend.position="bottom" 
                             ,plot.title = element_text(size=15, face="bold")) + 
      ggtitle("Owners vs No. of Set Ups") + labs(fill = "Status")
  })
  output$plantSetUps <- renderPlot({
    ggplot(data=setups, aes(x=setups$Plant, y= setups$X..setup)) +
      geom_bar(stat="identity", col="blue", fill="blue") +
      labs(title ="No of Set ups by plant")
  })
  output$mytable = DT::renderDataTable({
    setups
  })

  output$result <- renderText({
    paste("You chose", input$selectVariable)
  })

}


shinyApp(ui, server)

str(setups)

DF 列 错误

代码错误2闪亮 错误2

数据 数据类型

任何帮助将不胜感激。谢谢

4

1 回答 1

0

调用select就像 SQL 中的 select 语句一样工作，这意味着在该语句之后X..setups是唯一剩下的列。如果您只想包含在 input$selectVariable 中选择的人的设置，您应该首先过滤setups数据框。其次，dplyr返回对象中的函数与输入对象属于同一类。您将 a 传递给tibble函数，因此它返回 a tibble。但是，您需要它是一个标量才能在valueBox. sum您可以通过将过滤后的数据传递给基本函数并仅对列求和来使其成为标量X..setups。

setUpByName <- reactive ({
  setups_filtered <- setups %>%
    filter(Owners == input$selectVariable)
  sum(setups_filtered$X..setups)
})
于 2019-03-07T18:00:38.473 回答