【发布时间】：2020-10-29 03:19:01
【问题描述】：
我有一个闪亮的应用程序，它加载了几个数据集（钻石和 mtcars）并将它们显示为主面板中的数据表。我正在尝试实现几个功能
1. Store datasets: Once the user create filters in the datatable, allow them to store the filtered results as a new dataset.
2. Remove datasets: Allow the users to remove any datasets from the list of created datasets
app.R
library(shiny)
library(shinyWidgets)
library(dplyr)
library(tidyverse)
library(shinyjs)
ui <- fluidPage(
titlePanel("Dataset Tool"),
sidebarLayout(
sidebarPanel(width = 3,
conditionalPanel(
condition = "input.tabs=='Datasets'",
uiOutput("ui_datasets"),
uiOutput("ui_storedataset"),
br(), br(),
wellPanel(
checkboxInput("data_remove", "Remove dataset from memory",
FALSE),
conditionalPanel(
condition = "input.data_remove == true",
uiOutput("ui_removedataset"),
actionButton("removeDataSetButton",
"Remove dataset")
)
)
)
),
mainPanel(
tabsetPanel(id = "tabs",
tabPanel("Datasets",
DT::dataTableOutput("datatable")
)
)
)
)
)
server = function(input, output,session) {
my_data <- new.env()
my_state <- list()
my_info <- reactiveValues()
datasetlist <- c()
my_df <- list()
df <- list()
df_names <- c("diamonds", "mtcars")
for (j in df_names) {
df[[j]] <- get(j)
datasetlist <- c(datasetlist, j)
}
my_info[["datasetlist"]] <- datasetlist
my_df[["df"]] <- df
output$ui_datasets <- renderUI({
tagList(
selectInput(
inputId = "dataset",
label = "Datasets:",
choices = my_info[["datasetlist"]],
multiple = FALSE
)
)
})
output$ui_storedataset <- renderUI({
tagList(
wellPanel(
tags$table(
tags$td(textInput("stored_name",
"Store new dataset as:",
"",
placeholder = "name of the dataset")),
tags$td(actionButton("view_store",
"Store"),
style = "padding-right:30px;")
)
)
)
})
observeEvent(input$datatable_search_columns, {
my_state$datatable_search_columns <<- input$datatable_search_columns
})
observeEvent(input$datatable_state, {
my_state$datatable_state <<-
if (is.null(input$datatable_state)) list() else input$datatable_state
})
output$datatable <- DT::renderDataTable({
dat <- df[[(input$dataset)]]
search <- my_state$datatable_state$search$search
if (is.null(search)) search <- ""
fbox <- if (nrow(dat) > 5e6) "none" else list(position = "top")
DT::datatable(
dat,
filter = fbox,
selection = "none",
rownames = FALSE,
fillContainer = FALSE,
escape = FALSE,
style = "bootstrap",
options = list(
stateSave = TRUE,
searchCols = lapply(my_state$datatable_search_columns, function(x) list(search = x)),
search = list(search = search, regex = TRUE),
order = {
if (is.null(my_state$datatable_state$order)) {
list()
} else {
my_state$datatable_state$order
}
},
columnDefs = list(
list(orderSequence = c("desc", "asc"), targets = "_all"),
list(className = "dt-center", targets = "_all")
),
autoWidth = TRUE,
processing = isTRUE(fbox == "none"),
pageLength = {
if (is.null(my_state$datatable_state$length)) 10 else my_state$datatable_state$length
},
lengthMenu = list(c(5, 10, 25, 50, -1), c("5", "10", "25", "50", "All"))
),
callback = DT::JS('$(window).on("unload", function() { table.state.clear(); })')
)
})
observeEvent(input$view_store, {
req(input$stored_name)
dataset <- (input$stored_name)
if (input$stored_name != dataset) {
updateTextInput(session, inputId = "stored_name", value = dataset)
}
my_data[[dataset]] <- get(input$dataset)
updateSelectInput(session = session, inputId = "dataset",
selected = input$dataset)
})
output$ui_removedataset <- renderUI({
selectInput(
inputId = "removeDataset",
label = NULL,
choices = my_info[["datasetlist"]],
selected = NULL,
multiple = TRUE,
size = length(my_info[["datasetlist"]]),
selectize = FALSE
)
})
observeEvent(input$removeDataSetButton, {
if (is.null(input$removeDataset)) return()
datasets <- my_info[["datasetlist"]]
if (length(datasets) > 1) {
removeDataset <- input$removeDataset
if (length(datasets) == length(removeDataset)) {
removeDataset <- removeDataset[-1]
}
suppressWarnings(rm(list = removeDataset, envir = my_data))
my_info[["datasetlist"]] <- datasets[-which(datasets %in% removeDataset)]
}
})
}
shinyApp(ui = ui, server = server)
我认为“removedatasets”功能可以正常工作。我无法使用“存储数据集”功能。我不确定如何从环境中捕获过滤后的数据表以存储并将其添加到数据集列表中。
我非常感谢您对此的任何帮助。谢谢。
【问题讨论】：
标签： r shiny shiny-reactivity