4

首先，这是一个最小的可重现示例：

假设我有以下flexdashboard应用程序example.Rmd：

---
title: "Test App"
output:
  flexdashboard::flex_dashboard:
    theme: ["lumen"]
    orientation: ["columns"]
runtime: shiny
---

```{r setup, include=FALSE}
source('modules.R')
```

Test
==================

Inputs {.sidebar data-width=250}
------------------

```{r}

## Modules:
globalInputs <- callModule(setup, "inputs")  # Note: you only need to call this one time!
callModule(chart, "modalChart", globalInputs)
## UI:
sidebar("inputs")

```

Column
-------------------------------------

### ModalTest

```{r}
chartUI2("modalChart")
```

这是我的modules.R文件：

sidebar <- function(id) {
  ns <- NS(id)
  tagList(
    helpText("Press the button below to pull up a modal:"),
    actionButton(ns("settings"), "Settings", icon = icon("cogs"), width = '100%')
  )
}

# setup function
setup <- function(input, output, session) {
  return(input)  ## Note, input in this case is a reactive list of values that you can index against with $ or [[""]]
}

# UI module for the popup Settings modal
modalUI <- function(id) {
  ns <- NS(id)
  withTags({  # UI elements for the modal go in here
    ## Note: you can use the fluidPage() and fluidRow() functions to define a column-based UI for the chart inputs below:
    fluidPage(
      fluidRow(sliderInput(ns("bins"), "Number of bins:",
                           min = 1,  max = 50, value = 30),
               textInput(ns("plotTitle"), label = "Plot Title", value = "This is a test")
      ))
  })
}


## UI module for the 2 buttons in the modal:
modalFooterUI <- function(id) {
  ns <- NS(id)
  tagList(
    modalButton("Cancel", icon("remove")),
    actionButton(ns("modalApply"), "Apply", icon = icon("check"))
  )
}

## chart module ----------------------------------------------------------------
chartUI2 <- function(id) {
  ns <- NS(id)
  plotOutput(ns("distPlot"))
}

chart <- function(input, output, session, setup) {

  observeEvent(setup$settings, {
    showModal(modalDialog(
      modalUI("inputs"),  # Call UI function defined in './modules/modal.R'; note the namespace 'inputs' is the same globally for the app
      title = "Settings",
      footer = modalFooterUI("inputs"),
      size = "l",
      easyClose = TRUE,
      fade = TRUE)
    )
  })

  output$distPlot <- renderPlot({
    if (setup$settings == 0)
      return(
        hist(faithful[, 2],
             breaks = 5,  # if the button hasn't been pressed, default
             main = 'This is the default title',
             col = 'darkgray',
             border = 'white')
      )
    isolate({
      x <- faithful[, 2]
      bins <- setup$bins
      hist(x,
           breaks = bins,
           main = setup$plotTitle,
           col = 'darkgray',
           border = 'white')
    })

  })
}

这是我想要完成的事情：

  1. 当页面加载时distPlot使用默认参数呈现。这应该总是发生。
  2. 当我单击“设置”actionButton时，它会弹出模态叠加层（但将背景中的绘图保持在其原始状态）
  3. 允许用户更改弹出模式中的参数，但在用户点击“应用”按钮之前不要重新渲染绘图。

我想我已经弄清楚了＃1，但是当我单击“设置”按钮时出现错误Invalid breakpoints produced by 'breaks(x)': NULL。然后，我更改了输入，但它什么也不做（除非我点击设置actionButton再次点击设置（这反过来会使用给定的输入渲染绘图）。

我究竟做错了什么？

谢谢！！

4

1 回答 1

1

可能存在时间问题。当您按下设置按钮时，setup$settings变为 1，因此renderPlot尝试重新绘制。如果在设置滑块之前发生这种情况，setup$bins则会NULL出现错误。

if您可以在第一个renderPlot要绘制的条件中添加一个条件，setup$bins仅当用户按下模式中的“应用”按钮时：

output$distPlot <- renderPlot({
    if (setup$settings == 0 | !isTruthy(setup$modalApply)) {
        hist(faithful[, 2],
             breaks = 5,  # if the button hasn't been pressed, default
             main = 'This is the default title',
             col = 'darkgray',
             border = 'white')
      } else {
    isolate({
      x <- faithful[, 2]
      bins <- setup$bins
      hist(x,
           breaks = bins,
           main = setup$plotTitle,
           col = 'darkgray',
           border = 'white')
    })

!isTruthy将是TRUE如果setup$modalApply是NULL（尚未创建模态）或如果是0（用户尚未按下按钮）。一旦用户按下应用按钮，绘图就会更新。

编辑：

为方便起见，您可以使用 areactiveValues来保存所有绘图参数，包括默认参数。它可以在用户单击应用按钮时更新，从而更新绘图：

 plot_params = reactiveValues(bins=5,title='This is the default title')


  output$distPlot <- renderPlot({
        hist(faithful[, 2],
             breaks = plot_params$bins,
             main = plot_params$title,
             col = 'darkgray',
             border = 'white')
  })

  observeEvent(setup$modalApply,{
    plot_params$bins = setup$bins
    plot_params$title = setup$plotTitle
  })
于 2017-04-29T14:07:44.993 回答