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“SplitColumns”、“DeleteRows”和“Repace values”按钮显示在下面的 R 闪亮代码中；根据代码，上传 csv 数据后，“SplitColumns”和“DeleteRows”按钮运行完美。为了使这更加有用，我想在用户指定的列之后添加空列（根据 SelectInput ：标记为：“选择列”）并替换标记为“输入要替换的值：”框中的值

我为此创建了一个名为“fillvalues”的函数，但是它不起作用并给我以下错误。

有人可以帮我解决这个问题吗？

错误

警告：子错误：找不到对象“df_fill”

csv数据

ID  Type   Range
21  A1 B1   100
22  C1 D1   200
23  E1 F1   300

应用程序.R

library(shiny)
library(reshape2)
#source('splitColumn_stack.R')
library(DT)


###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 replacing the empty values

library(tidyr)

fillvalues <- function(columName, value){
  df_fill[[columName]] <- sub("^$", value , df_fill[[columName]])
  df_fill
}




### 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"),
      selectInput(inputId='selectcolumn', label='select column', ''),
      actionButton("deleteRows", "Delete Rows"),
      textInput("textbox", label="Input the value to replace:"),
      actionButton("replacevalues", label = 'Replace values')
    ),
    mainPanel(
      DTOutput("table1")
    )
  )
)

server <- function(session, input, output) {
  rv <- reactiveValues(data = 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$data <- read.csv(file$datapath, header = input$header)
    
    updateSelectInput(session, 'selectcolumn', 'select column', 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$replacevalues, {
    rv$value <- fillvalues(rv$value, input$selectcolumn)
  })
}

shinyApp(ui, server)
4

1 回答 1

0

无需“替换”任何值，只需插入一个包含用户输入值的新列。

下面是使用包中的add_column()函数的示例tibble。

请注意，这只是一个起点，用户必须输入与表格中的行数相对应的正确数量的值，并用逗号分隔。

也没有验证输入的值的类型，因此它们最终都作为新列中的字符。

library(shiny)
library(reshape2)
#source('splitColumn_stack.R')
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
}    

### 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"),
  selectInput(inputId='selectcolumn', label='select column', ''),
  actionButton("deleteRows", "Delete Rows"),
  textInput("textbox", label="Input the value to replace:"),
  actionButton("replacevalues", label = 'Replace values')
),
mainPanel(
  DTOutput("table1")
)
 )
)

server <- function(session, input, output) {
 rv <- reactiveValues(data = 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$data <- read.csv(file$datapath, header = input$header)

updateSelectInput(session, 'selectcolumn', 'select column', 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)
})
}

shinyApp(ui, server)
于 2021-08-18T16:32:18.020 回答