如何通过更新和多重选择将多个输入构建到我闪亮的应用程序中?

How can I build multiple inputs into my shiny app with both updating and multiple selection?

我正在构建一个带有 datatableflex dashboard / shiny 应用程序,并尝试构建两个输入作为此 datatable 的选择,带有 "All" 每个选择的选择。第一个问题是如何通过选择第一个选择"team"来限制第二个选择"user"

然后,使用这些输入,我想将我的数据子集化为两个选择的任意组合,例如。 Team All,用户 "Darwin D" 将 return 一个单行数据表,其中包含他的姓名、团队和要添加的其他指标等。

以下 flex markdown 文档的所有代码:

---
title: "example"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    runtime: shiny
---

```{r setup, include=FALSE}
library(shiny)
library(shinydashboard)
library(flexdashboard)
library(magrittr)
library(feather)
library(anytime)
library(data.table)
library(DT)
library(datasets)


Name <- c("Allan A","Barbara B","Charles C","Darwin D","Evelyn E","Frank F","Greg G","Hans H")
Team <- c(1,2,3,3,2,1,2,2)
users <- data.frame(Name,Team)
remove(Name,Team)
```



Inputs {.sidebar}
=======================================================================

### Input Variables

```{r global_input}
# input variable to call selection, name of field, selections/options variable
dateRangeInput('dateRange',
     label = 'Date range input: yyyy-mm-dd',
     start = Sys.Date() - 8,
     end = Sys.Date() - 1,
     min = "2013-01-01",
     max = Sys.Date() -1
   )

selectInput("teaminput","Team", c("All",unique(users$Team)))

observe({
    if( input$teaminput == "All" ) {
        subDT <- copy( users )
    } else {
        subDT <- users[ users$Team == input$teaminput, ]
    }

    updateSelectInput(
        "userinput",
        label = "User Name",
        choices = c( "All", unique(subDT$Name ) )
    )
})
```

### Intake Coordinator KPIs

```{r daily_table}
# reactive data object based on inputs above
daily_dt <- reactive({
  if(input$teaminput == "All"){
      subDT
}  else{
    subset(subDT$Team == input$teaminput)
}
  })

# render DT datatable object with sorts/search
renderDataTable(daily_dt())
```

请注意,除非您提供可重现的示例,否则我无法对此进行测试,但按照这些思路应该可以。您的 server 中需要一个反应函数,其中包括一个子集步骤和一个 updateSelectInput 调用。每当反应被触发时,这将更新您 ui 中的输入。

observe({
    if( input$team == "All" ) {
        subDT <- copy( DT )
    } else {
        subDT <- DT[ Team == input$team, ]
    }

    updateSelectInput(
        "user",
        label = "User Name",
        choices = c( "All", unique( subDT$Name ) )
    )

})

因此,每当 input$team 发生变化时,我们都会根据该选择创建一个子集,并使用该子集来更新 user 输入字段。

您可能想使用 2 reactive,第一个按团队过滤 data.frame,第二个按名称过滤第一个的结果:

---
title: "example"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    runtime: shiny
---

```{r setup, include=FALSE}
library(DT)

users <- data.frame(
  Name = c("Allan A","Barbara B","Charles C","Darwin D","Evelyn E","Frank F","Greg G","Hans H"),
  Team = c(1,2,3,3,2,1,2,2), stringsAsFactors = FALSE)
```

Inputs {.sidebar}
=======================================================================
### Input Variables

```{r global_input}
selectInput("teaminput","Team",c("All", unique(users$Team)), selected="All")
selectInput("userinput","User Name", c("All", unique(users$Name) ), selected="All")

teamFiltered <- reactive(users[input$teaminput=="All" | users$Team==input$teaminput,])

observe(updateSelectInput(session,"userinput", choices = c("All", unique(teamFiltered()$Name)), selected="All"))
```

Results
=======================================================================
### Intake Coordinator KPIs

```{r daily_table}
userFiltered <- reactive(teamFiltered()[input$userinput=="All" | teamFiltered()$Name==input$userinput,])

renderDataTable(userFiltered())
```