R 闪亮 - 动态显示/隐藏可编辑的数据表

Question

我想创建一个tabsetPanel，它显示基于selectizeInput选择的数据帧，同时还允许永久编辑数据。我使用可编辑DataTables来渲染数据帧，但找不到保存编辑的方法。此示例代码说明了我的问题：

library(shiny)
library(shinyWidgets)
library(shinyjs)
library(DT)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
selectizeInput(inputId = "dataframes", label = "select dataframes", 
choices = c("iris", "mtcars", "DNase", "ChickWeight"), multiple = TRUE, options = list(create = T))
),
mainPanel(
uiOutput("dataframes_rendered")
)
)
)
server <- function(input, output) {
output$dataframes_rendered =  renderUI({
# create one tab per df
tabs = lapply(input$dataframes, function(df){
output[[df]] = DT::renderDT(get(df), editable = T, rownames = F, options = list(dom = "t"))
tabPanel(title = df, value = NULL, dataTableOutput(outputId = df), br())
})
# create tabsetPanel
do.call(tabsetPanel, c(tabs, id = "df_tabset"))
})
}
shinyApp(ui = ui, server = server)

我理解为什么在我的示例中没有保存编辑(数据帧会随着 selectizeInput 中的每次更改而重新渲染(，但是到目前为止，我尝试保存编辑并重新渲染编辑过的表的所有内容都不起作用。

Answer 1

请尝试以下操作：

library(shiny)
library(shinyWidgets)
library(shinyjs)
library(DT)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
selectizeInput(inputId = "dataframes", label = "select dataframes", 
choices = c("iris", "mtcars", "DNase", "ChickWeight"), multiple = TRUE, options = list(create = T))
),
mainPanel(
tabsetPanel(id = "df_tabset")
)
)
)
server <- function(input, output, session) {
tables <- reactiveValues(
iris = iris,
mtcars = mtcars,
DNase = DNase,
ChickWeight = ChickWeight,
df_tabset = NULL
)
observeEvent(input$dataframes, {
if (length(input$dataframes) > length(tables$df_tabset)) {
df = input$dataframes[! input$dataframes %in% tables$df_tabset]
output[[df]] = renderDT(tables[[df]], editable = T, rownames = F, options = list(dom = "t"))
appendTab(inputId = "df_tabset", select = TRUE,
tabPanel(title = df, value = df, DTOutput(outputId = df))
)
tables$df_tabset = input$dataframes
} else {
df = tables$df_tabset[! tables$df_tabset %in% input$dataframes]
removeTab(inputId = "df_tabset", target = df)
tables$df_tabset = input$dataframes
}
}, ignoreNULL = FALSE, ignoreInit = TRUE)
observeEvent(input$iris_cell_edit, {
tables$iris[input$iris_cell_edit$row, input$iris_cell_edit$col + 1] = input$iris_cell_edit$value
})
observeEvent(input$mtcars_cell_edit, {
tables$mtcars[input$mtcars_cell_edit$row, input$mtcars_cell_edit$col + 1] = input$mtcars_cell_edit$value
})
observeEvent(input$DNase_cell_edit, {
tables$DNase[input$DNase_cell_edit$row, input$DNase_cell_edit$col + 1] = input$DNase_cell_edit$value
})
observeEvent(input$ChickWeight_cell_edit, {
tables$ChickWeight[input$ChickWeight_cell_edit$row, input$ChickWeight_cell_edit$col + 1] = input$ChickWeight_cell_edit$value
})
}
shinyApp(ui = ui, server = server)

我还通过添加和删除选项卡而不是每次都重新呈现所有选项卡来更改您的代码。

select = TRUE会将您带到添加的选项卡，但可以将其更改为默认值FALSE以保留在当前选项卡上。

保存更改的主要方法是使用reactives/reactiveValues.请参阅DT Shiny和示例。

更新

根据下面的评论，我现在根据需要创建每个observeEvent()。

library(shiny)
library(shinyWidgets)
library(shinyjs)
library(DT)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
selectizeInput(inputId = "dataframes", label = "select dataframes", 
choices = c("iris", "mtcars", "DNase", "ChickWeight"), multiple = TRUE, options = list(create = T))
),
mainPanel(
tabsetPanel(id = "df_tabset")
)
)
)
server <- function(input, output, session) {
tables <- reactiveValues(
iris = iris,
mtcars = mtcars,
DNase = DNase,
ChickWeight = ChickWeight,
df_tabset = NULL
)
observeEvent(input$dataframes, {
if (length(input$dataframes) > length(tables$df_tabset)) {
df = input$dataframes[! input$dataframes %in% tables$df_tabset]
output[[df]] = renderDT(tables[[df]], editable = T, rownames = F, options = list(dom = "t"))
appendTab(inputId = "df_tabset", select = TRUE,
tabPanel(title = df, value = df, DTOutput(outputId = df))
)
observeEvent(input[[paste0(df, '_cell_edit')]], {
tables[[df]][input[[paste0(df, '_cell_edit')]]$row, input[[paste0(df, '_cell_edit')]]$col + 1] = input[[paste0(df, '_cell_edit')]]$value
})
tables$df_tabset = input$dataframes
} else {
df = tables$df_tabset[! tables$df_tabset %in% input$dataframes]
removeTab(inputId = "df_tabset", target = df)
tables$df_tabset = input$dataframes
}
}, ignoreNULL = FALSE, ignoreInit = TRUE)
}
shinyApp(ui = ui, server = server)