使用 R Shiny 中的模块进行多元线性回归

Question

我正在尝试使用 R Shiny Modules 进行线性回归。思路如下：

我有一个模块将 data.table 作为函数的输入。
模块 UI 然后要求线性回归的 X 和 Y 变量
单击按钮后应执行线性回归并打印摘要输出。

我尝试了下面的代码，但抛出了一个我无法修复的错误。

请帮忙。

代码


Linear.Regression.UI <- function(id, data.tibble){
  ns <- NS(id)
  tagList(
    actionButton(ns("ClickforRegression"), label = "Click Here to Do Regression"),
    
    selectInput(inputId = ns("Regression.Y.Input"),
                label = "Select Regression Dependent Variable",
                choices = names(data.tibble),
                ),
    selectInput(inputId = ns("Regression.X.Input"),
                label = "Select Regression Independent Variables",
                choices= names(data.tibble),
                multiple=TRUE),
    
    verbatimTextOutput("Linear.Model.Output.Summary")
  )#end of tagList

}#end of Linear.Regression.UI


Linear.Regression.Server <- function(id){
  moduleServer(id, function(input, output, session){
    ns <- session$ns
    
    observeEvent(eventExpr = input$ClickforRegression,
                 linear.model <-  lm(reformulate(input$Regression.X.Input, input$Regression.Y.Input), data = data.tibble)
                 )#end of observeEvent
    
    
    output$Linear.Model.Output.Summary <- renderPrint(summary(linear.model()))
    
    
  })#end of moduleServer
  
}


Regression.App <- function(data.tibble){
  ui <- fluidPage(
    Linear.Regression.UI("Data", data.tibble = iris)
  )
  
  server <- function(input, output, session)
  {
    Linear.Regression.Server("Data")
  }
  
  shinyApp(ui, server)
}


Regression.App()

错误

Listening on http://127.0.0.1:3883
Warning: Error in is.data.frame: object 'data.tibble' not found
  [No stack trace available]

Answer 1

代码还需要 ns 修复，但主要修复是将数据传递到服务器：

Linear.Regression.UI <- function(id, data.tibble){
  ns <- NS(id)
  tagList(
    actionButton(ns("ClickforRegression"), label = "Click Here to Do Regression"),
    
    selectInput(inputId = ns("Regression.Y.Input"),
                label = "Select Regression Dependent Variable",
                choices = names(data.tibble),
    ),
    selectInput(inputId = ns("Regression.X.Input"),
                label = "Select Regression Independent Variables",
                choices= names(data.tibble),
                multiple=TRUE),
    
    verbatimTextOutput(ns("Linear.Model.Output.Summary"))
  )#end of tagList
  
}#end of Linear.Regression.UI


Linear.Regression.Server <- function(id, data.tibble ){
  moduleServer(id, function(input, output, session){
    ns <- session$ns
    
    linear.model<- reactiveVal()
    observeEvent(eventExpr = input$ClickforRegression,{ message("sdf");
      linear.model(lm(reformulate(input$Regression.X.Input, input$Regression.Y.Input), data = data.tibble))}
    )#end of observeEvent
    
    
    output$Linear.Model.Output.Summary <- renderPrint(summary(linear.model()))
    
    
  })#end of moduleServer
  
}


Regression.App <- function(data.tibble){
  ui <- fluidPage(
    Linear.Regression.UI("Data", data.tibble = iris)
  )
  
  server <- function(input, output, session)
  {
    Linear.Regression.Server("Data", data.tibble = iris)
  }
  
  shinyApp(ui, server)
}


Regression.App()

使用 R Shiny 中的模块进行多元线性回归

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