如何使用 Rshiny 和 Rmarkdown 使用两个输入的值框?电阻

问题描述

我的目标是使用我拥有的一些输入来更新一个值框.

这是我的代码

---标题:《无题》输出:flexdashboard::flex_dashboard:方向:列垂直布局:填充图形:是运行时间:闪亮---```{r 设置，包括 = FALSE}图书馆(弹性仪表板)图书馆(ggplot2)图书馆(情节)图书馆(DT)图书馆(htmltools)图书馆(读者)图书馆(闪亮)图书馆(knitr)``输入 {.sidebar data-width=300}======================================```{r}selectInput("input_type","Select Cylinder Size:", c("All", mtcars$cyl))selectInput("input_type2", "Select # of Gears:", c("All", mtcars$gear))mtcars2 

我的目标是获得一个值框，我可以在其中根据过滤后的剩余数据获得 hp 的总和.

例如，在此屏幕截图中，我进行过滤以仅看到 6 缸和 3 档的汽车.我的目标是在值框中查看 hp 的总和.

附加代码

渲染值框({值框(mtcars2() %>% summarise(Sum=sum(hp)) %>% pull(Sum),paste(总生命值:", input$input2))})

解决方案

添加

库(dplyr)

到您的 YAML 标头，然后替换

valueBox(0)

与

 renderValueBox({值框(总生命值"，mtcars2() %>% summarise(Sum=sum(hp)) %>% pull(Sum))})

或类似的.

My goal is to get a value box to update using some inputs I have.

Here is my code

---
title: "Untitled"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    graphics: yes
    runtime: shiny
---

```{r setup, include=FALSE}
library(flexdashboard)
library(ggplot2)
library(plotly)
library(DT)
library(htmltools)
library(readr)
library(shiny)
library(knitr)

```
  
  Inputs {.sidebar data-width=300}
=====================================


```{r}
selectInput("input_type","Select Cylinder Size: ", c("All", mtcars$cyl))
selectInput("input_type2", "Select # of Gears: ", c("All", mtcars$gear))

mtcars2 <- reactive({
  d <- mtcars
  if(input$input_type !="All")
    d <- subset(d, cyl == input$input_type)
  if(input$input_type2 !="All")
    d <- subset(d, gear == input$input_type2)
  d
  })



```

# Page 1 

Column {data-width=600}
-----------------------------------------------------------------------

### Table
```{r echo=FALSE}

renderDataTable(
  datatable(mtcars2())
  ) 

```


Column {data-width=300}
-----------------------------------------------------------------------
### Value Box

```{r}
valueBox(0)
```

My goal is to get a value box where I can get the sum of hp depending on the remaining data that is filtered.

For example in this screenshot I filtered to only see cars that are 6 cyl and have 3 gears.My goal would be to see the sum of hp populate on the value box.

Additional Code

renderValueBox({
    valueBox(
      mtcars2() %>% summarise(Sum=sum(hp)) %>% pull(Sum) ,
      paste("Total HP:", input$input2)
    )
  })

解决方案

Add

library(dplyr)

to your YAML header and then replace

valueBox(0)

with

  renderValueBox({
    valueBox(
      "Total HP",
      mtcars2() %>% summarise(Sum=sum(hp)) %>% pull(Sum)
    )
  })

or similar.

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