如何在 R shiny 中使數據表可編輯

Question

我正在創建 R shiny 應用程序，我不確定如何使我的數據表可編輯 R171704AEEC64 中的行和列。 當我嘗試使用renderDT=(editable = TRUE)時，它不起作用。 有人可以告訴我如何在 R shiny 中執行此操作嗎？

如果我錯了，那么我應該在哪里設置editable =TRUE以使數據表可編輯

CSV

ID  Type   Range
21  A1 B1   100
22  C1 D1   200

App.R

library(shiny)
library(reshape2)
library(DT)
library(tibble)


###function for deleting the rows
splitColumn <- function(data, column_name) {
  newColNames <- c("Unmerged_type1", "Unmerged_type2")
  newCols <- colsplit(data[[column_name]], " ", newColNames)
  after_merge <- cbind(data, newCols)
  after_merge[[column_name]] <- NULL
  after_merge
}
###_______________________________________________
### function for inserting a new column

fillvalues <- function(data, values, columName){
  df_fill <- data
  vec <- strsplit(values, ",")[[1]]
  df_fill <- tibble::add_column(df_fill, newcolumn = vec, .after = columName)
  df_fill
}

##function for removing the colum

removecolumn <- function(df, nameofthecolumn){
  df[ , -which(names(df) %in% nameofthecolumn)]
}

### use a_splitme.csv for testing this program

ui <- fluidPage(
  sidebarLayout(
    sidebarPanel(
      fileInput("file1", "Choose CSV File", accept = ".csv"),
      checkboxInput("header", "Header", TRUE),
      actionButton("Splitcolumn", "SplitColumn"),
      uiOutput("selectUI"),
      actionButton("deleteRows", "Delete Rows"),
      textInput("textbox", label="Input the value to replace:"),
      actionButton("replacevalues", label = 'Replace values'),
      actionButton("removecolumn", "Remove Column"),
      actionButton("Undo", 'Undo')
    ),
    mainPanel(
      DTOutput("table1")
    )
  )
)

server <- function(session, input, output) {
  rv <- reactiveValues(data = NULL, orig=NULL)
  
  observeEvent(input$file1, {
    file <- input$file1
    ext <- tools::file_ext(file$datapath)
    
    req(file)
    
    validate(need(ext == "csv", "Please upload a csv file"))
    
    rv$orig <- read.csv(file$datapath, header = input$header, )
    rv$data <- rv$orig
  })
  
  output$selectUI<-renderUI({
    req(rv$data)
    selectInput(inputId='selectcolumn', label='select column', choices = names(rv$data))
  })
  
  
  observeEvent(input$Splitcolumn, {
    rv$data <- splitColumn(rv$data, input$selectcolumn)
  })
  
  observeEvent(input$deleteRows,{
    if (!is.null(input$table1_rows_selected)) {
      rv$data <- rv$data[-as.numeric(input$table1_rows_selected),]
    }
  })
  
  output$table1 <- renderDT({
    rv$data
  })
  observeEvent(input$replacevalues, {
    rv$data <- fillvalues(rv$data, input$textbox, input$selectcolumn)
  })
  observeEvent(input$removecolumn, {
    rv$data <- removecolumn(rv$data,input$selectcolumn)
  })
  observeEvent(input$Undo, {
    rv$data <- rv$orig
  })
}

shinyApp(ui, server)

Answer 1

datatable表可編輯，您需要添加：

  output$table1 <- renderDT({
    datatable(rv$data, editable = TRUE)
  })

但我的猜測是，您還希望這些編輯保持持久性，因此我們需要再添加一個步驟：

  observeEvent(input$table1_cell_edit, {
    row  <- input$table1_cell_edit$row
    clmn <- input$table1_cell_edit$col
    rv$data[row, clmn] <- input$table1_cell_edit$value
  })

每個渲染的 DT 都會創建一個input_cell_edit object ，其中包含編輯的行和列索引。

應用代碼和數據：

library(tidyverse)

data <- 
read_table("ID  Type   Range
21  A1 B1   100
22  C1 D1   200")

write_csv(data, 'a_splitme.csv')

library(shiny)
library(reshape2)
library(DT)
library(tibble)



###function for deleting the rows
splitColumn <- function(data, column_name) {
  newColNames <- c("Unmerged_type1", "Unmerged_type2")
  newCols <- colsplit(data[[column_name]], " ", newColNames)
  after_merge <- cbind(data, newCols)
  after_merge[[column_name]] <- NULL
  after_merge
}
###_______________________________________________
### function for inserting a new column

fillvalues <- function(data, values, columName){
  df_fill <- data
  vec <- strsplit(values, ",")[[1]]
  df_fill <- tibble::add_column(df_fill, newcolumn = vec, .after = columName)
  df_fill
}

##function for removing the colum

removecolumn <- function(df, nameofthecolumn){
  df[ , -which(names(df) %in% nameofthecolumn)]
}

### use a_splitme.csv for testing this program


# UI ----------------------------------------------------------------------

ui <- fluidPage(
  sidebarLayout(
    sidebarPanel(
      fileInput("file1", "Choose CSV File", accept = ".csv"),
      checkboxInput("header", "Header", TRUE),
      actionButton("Splitcolumn", "SplitColumn"),
      uiOutput("selectUI"),
      actionButton("deleteRows", "Delete Rows"),
      textInput("textbox", label="Input the value to replace:"),
      actionButton("replacevalues", label = 'Replace values'),
      actionButton("removecolumn", "Remove Column"),
      actionButton("Undo", 'Undo')
    ),
    mainPanel(
      DTOutput("table1")
    )
  )
)


# SERVER ------------------------------------------------------------------

server <- function(session, input, output) {
  rv <- reactiveValues(data = NULL, orig=NULL)
  
  observeEvent(input$file1, {
    file <- input$file1
    ext <- tools::file_ext(file$datapath)
    
    req(file)
    
    validate(need(ext == "csv", "Please upload a csv file"))
    
    rv$orig <- read.csv(file$datapath, header = input$header, )
    rv$data <- rv$orig
  })
  
  output$selectUI<-renderUI({
    req(rv$data)
    selectInput(inputId='selectcolumn', label='select column', choices = names(rv$data))
  })
  
  #splitcolumn
  observeEvent(input$Splitcolumn, {
    rv$data <- splitColumn(rv$data, input$selectcolumn)
  })
  
  #delterows
  observeEvent(input$deleteRows,{
    if (!is.null(input$table1_rows_selected)) {
      rv$data <- rv$data[-as.numeric(input$table1_rows_selected),]
    }
  })
  

# renderDT ----------------------------------------------------------------
  
  output$table1 <- renderDT({
    datatable(rv$data, editable = TRUE)
  })
  
  observeEvent(input$table1_cell_edit, {
    row  <- input$table1_cell_edit$row
    clmn <- input$table1_cell_edit$col
    rv$data[row, clmn] <- input$table1_cell_edit$value
  })
  
  
  observeEvent(input$replacevalues, {
    rv$data <- fillvalues(rv$data, input$textbox, input$selectcolumn)
  })
  observeEvent(input$removecolumn, {
    rv$data <- removecolumn(rv$data,input$selectcolumn)
  })
  observeEvent(input$Undo, {
    rv$data <- rv$orig
  })
}

shinyApp(ui, server)