我正在构建一个闪亮的App,其中有一个数据表,其中包含各种选择输入和复选框输入,用户可以使用选择输入和复选框在单元格中选择值,有没有办法我可以存储此数据在用户做出所有选择之后。
我有一个数据框,在其中添加了3个新列,每个单元格都有selectinputs和复选框。用户可以使用它们选择值。
shinyServer(function(input, output, session) {
observeEvent(input$datafile_1,{
mapping_file <<- read.csv(input$datafile_1$datapath,stringsAsFactors = FALSE)
output$mytable1 <- renderDataTable({data.table(mapping_file)},
options = list(
dom='t',
ordering=F,
lengthChange = TRUE,
pageLength=20,
rownames= FALSE,
initComplete = JS(
"function(settings, json) {",
"$(this.api().table().header()).css({'background-color': '#00338d', 'color': '#fff'});",
"}"),
autowidth = TRUE
),rownames= FALSE)
DF <- data.frame(Fields = colnames(df_master_file),stringsAsFactors = FALSE)
# helper function for making checkbox
shinyInput = function(FUN, len, id, ...) {
inputs = character(len)
for (i in seq_len(len)) {
inputs[i] = as.character(FUN(paste0(id, i), label = NULL, ...))
}
inputs
}
output$mytable2 = DT::renderDataTable({
data.frame(DF,Mapping=shinyInput(selectInput,nrow(DF),"mapping_",
choices=c("",colnames(mapping_file)),width="200px"),
Filter=shinyInput(checkboxInput,nrow(DF),"filter_",
width="50px"),
Color=shinyInput(checkboxInput,nrow(DF),"color_",
width="50px")
)
}, selection='none',server = FALSE, escape = FALSE, options = list(
dom = 't',
paging=TRUE,
preDrawCallback = JS('function() {
Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = JS('function() {
Shiny.bindAll(this.api().table().node()); } '),
ordering=F,
lengthChange = TRUE,
pageLength=37,
rownames= FALSE,
initComplete = JS(
"function(settings, json) {",
"$(this.api().table().header()).css({'background-color': '#00338d', 'color': '#fff'});",
"}")
),rownames= FALSE )
})
我要在用户在数据表上做出选择后保存数据,以便我可以进一步将其用于分析。
答案 0 :(得分:0)
我认为这是您想要的东西,但我不确定100%。
bookmarkButton()
shinyApp(ui = ui, server = server, enableBookmarking = "url")
这两个功能允许您存储应用程序的“状态”,从而可以与其他用户共享选择内容以供以后分析。
#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30),
bookmarkButton()
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output, session) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}
# Run the application
shinyApp(ui = ui, server = server, enableBookmarking = "url")