r-在闪亮应用程序的DT::数据表中添加、删除和编辑行

Question

我下面有一个闪亮的应用程序，在这个应用程序中，我可以根据闪亮的小部件选择按Add来添加新行，我可以按Delete来选择和删除一行，我想与它们组合单击一行的功能，然后在按Edit后通过左侧边栏中的相关小部件更改该行所选列的值。例如，如果我单击第2行，然后将Security Type小部件从Stock更改为Load Fund，则第2行的Security Type列应变为Load Fund。

library(shiny)
library(shinydashboard)
library(shinydashboardPlus)
library(DT)
library(tibble)
Input <- structure(list(`Security Type` = c("Stock", "Stock", "Load Fund"), Ticker = c("XOM", "NFLX", "AMCPX"), `Purchase Date` = structure(c(
16070,
17084, 17084
), class = "Date"), `Sale Date` = structure(c(
18627,
NA, 18545
), class = "Date"), `Amount Invested` = c(
"$10,000",
"$8,000", "$10,000"
)), class = c(
"spec_tbl_df", "tbl_df", "tbl",
"data.frame"
), row.names = c(NA, -3L))
shinyApp(
ui = tags$body(class = "skin-blue sidebar-mini control-sidebar-open", dashboardPage(
options = list(sidebarExpandOnHover = TRUE),
header = dashboardHeader(title = "Investment Advisor Monitoring - Insider Trading", titleWidth = 450),
sidebar = dashboardSidebar(
minified = F, collapsed = F,
selectInput(
"sectype", "Security Type",
c(unique(Input$`Security Type`))
),
selectInput(
"sectick", "Ticker",
c(unique(Input$Ticker))
),
dateInput("PurDate", "Purchase Date", value = as.Date("2013-12-31")),
dateInput("selDate", "Sale Date", value = as.Date("2019-01-31")),
selectInput(
"aminv", "Amount Invested",
c(unique(Input$`Amount Invested`))
),
actionButton("add", "Add"),
actionButton("edit", "Edit"),

actionButton("deleteRows", "Delete Rows")

),
body = dashboardBody(
h3("Results"),
tabsetPanel(
id = "tabs",
tabPanel(
"InsiderTraining",
dataTableOutput("TBL1")
)
)
),
controlbar = dashboardControlbar(width = 300),
title = "DashboardPage"
)),
server = function(input, output) {
# Init with some example data
data <- reactiveVal(Input)
rv <- reactiveValues(df = Input, row_selected = NULL)

observeEvent(
input$add,
{
# start with current data
data() %>%
add_row(
`Security Type` = isolate(input$sectype),
Ticker = isolate(input$sectick),
`Purchase Date` = isolate(input$PurDate),
`Sale Date` = isolate(input$selDate),
`Amount Invested` = isolate(input$aminv)
) %>%
# update data value
data()
}
)
observeEvent(input$deleteRows,{

if (!is.null(input$TBL1_rows_selected)) {
data(data()[-as.numeric(input$TBL1_rows_selected),])

}
})
observeEvent(input$edit,{

if (!is.null(input$TBL1_rows_selected)) {
cols_to_edit <- c('sectype', 'sectick', 'PurDate', 'selDate', 'aminv')
colnms <- c('Security Type', 'Ticker', 'Purchase Date', 'Sale Date', 'Amount Invested')
"remember the row selected"
rv$row_selected <- input$TBL1_rows_selected

walk2(cols_to_edit, colnms, ~{rv$df[input$TBL1_rows_selected, ..2] <<- input[[..1]]}) 

}

})
output$TBL1 <- renderDataTable(
data(),selection="single"
)
}
)

Answer 1

这里有一个使用reactiveValues的方法。

library(shiny)
library(shinydashboard)
library(shinydashboardPlus)
library(DT)
library(tidyverse)
Input <- structure(list(`Security Type` = c("Stock", "Stock", "Load Fund"), Ticker = c("XOM", "NFLX", "AMCPX"), `Purchase Date` = structure(c(
16070,
17084, 17084
), class = "Date"), `Sale Date` = structure(c(
18627,
NA, 18545
), class = "Date"), `Amount Invested` = c(
"$10,000",
"$8,000", "$10,000"
)), class = c(
"spec_tbl_df", "tbl_df", "tbl",
"data.frame"
), row.names = c(NA, -3L))

shinyApp(
ui = tags$body(class = "skin-blue sidebar-mini control-sidebar-open", dashboardPage(
options = list(sidebarExpandOnHover = TRUE),
header = dashboardHeader(title = "Investment Advisor Monitoring - Insider Trading", titleWidth = 450),
sidebar = dashboardSidebar(
minified = F, collapsed = F,
selectInput(
"sectype", "Security Type",
c(unique(Input$`Security Type`))
),
selectInput(
"sectick", "Ticker",
c(unique(Input$Ticker))
),
dateInput("PurDate", "Purchase Date", value = as.Date("2013-12-31")),
dateInput("selDate", "Sale Date", value = as.Date("2019-01-31")),
selectInput(
"aminv", "Amount Invested",
c(unique(Input$`Amount Invested`))
),
actionButton("add", "Add"),
actionButton("edit", "Edit"),

actionButton("deleteRows", "Delete Rows")

),
body = dashboardBody(
h3("Results"),
tabsetPanel(
id = "tabs",
tabPanel(
"InsiderTraining",
dataTableOutput("TBL1")
)
)
),
controlbar = dashboardControlbar(width = 300),
title = "DashboardPage"
)), ###### SERVER
server = function(input, output) {
# Init with some example data
#data <- reactiveVal(Input)
rv <- reactiveValues(df = Input, row_selected = NULL) 

observeEvent(
input$add,
{
# start with current data
rv$df <- rv$df %>%
add_row(
`Security Type` = isolate(input$sectype),
Ticker = isolate(input$sectick),
`Purchase Date` = isolate(input$PurDate),
`Sale Date` = isolate(input$selDate),
`Amount Invested` = isolate(input$aminv)
)#  %>%
# update data value
#data()


}
)
observeEvent(input$deleteRows,{

if (!is.null(input$TBL1_rows_selected)) {
#data(data()[-as.numeric(input$TBL1_rows_selected),])
rv$df <- rv$df[-as.numeric(input$TBL1_rows_selected), ]
}
})

observeEvent(input$edit,{

if (!is.null(input$TBL1_rows_selected)) {
cols_to_edit <- c('sectype', 'sectick', 'PurDate', 'selDate', 'aminv')
colnms <- c('Security Type', 'Ticker', 'Purchase Date', 'Sale Date', 'Amount Invested')
"remember the row selected"
rv$row_selected <- input$TBL1_rows_selected

walk2(cols_to_edit, colnms, ~{rv$df[input$TBL1_rows_selected, ..2] <<- input[[..1]]}) 

}

})
output$TBL1 <- renderDataTable(
rv$df,selection="single"
)
}
)