问题
I try to make a shiny module to present data from dataframes using the DT package. I would like to use a module to have a standard set up of DT-table options like language and others.
I want the user to be able to select different subsets of the data interactively and thereafter be able to see the data as a DT-table. The selection of the subset will be generated outside the module because I would like the subset to be available for other uses, for example to be exported to a csv-file.
This works as intended when I don't use a module for making the DT table. When I put the code inside a module, a table is produced when the app starts. But when the selection criteria are changed, the table don't update.
I have included an app illustrating the problem. Table 1 is generated without using shiny module and updates as expected when the selection changes. Table 2 is output using the module and don't update when the selection is changed.
I'm running R-studio 1.1.463, R version 3.5.2 and DT version 0.5.
require("DT")
require("shiny")
# module for presenting data using DT
showDTdataUI <- function(id) {
ns <- NS(id)
tagList(
DT::dataTableOutput(ns("table"))
)
}
showDTdata <- function(input, output, session, DTdata) {
output$table <- renderDataTable({
DT::datatable(DTdata)
})
}
# User interface
ui <-
fluidPage(
sidebarLayout(
sidebarPanel(id="DT",
width = 4,
helpText(h4("Select")),
selectInput("selectedSpecies", label = "Species",
choices = c("setosa","versicolor","virginica"),
selected = "versicolor")
),
mainPanel(
h3("Table 1. Presenting selected data from Iris" ),
DT::dataTableOutput("table"),
h5(br("")),
h3("Table 2. Presenting selected data from Iris using shiny module"),
showDTdataUI(id="testDTModule")
)
)
)
# Define server logic ----
server <- function(session, input, output) {
selectedIris <- reactive ( {
selected <- iris[which(iris$Species==input$selectedSpecies),]
selected
})
output$table <- renderDataTable({
DT::datatable(selectedIris())
})
callModule(showDTdata, id="testDTModule", DTdata=selectedIris())
}
# Run the app ----
shinyApp(ui = ui, server = server)
回答1:
You have to pass the reactive conductor in showDTdata
:
showDTdata <- function(input, output, session, DTdata) {
output$table <- renderDataTable({
DT::datatable(DTdata()) # not datatable(DTdata)
})
}
callModule(showDTdata, id="testDTModule", DTdata=selectedIris) # not DTdata=selectedIris()
回答2:
Without knowing of the shiny module approach, I would have probably written it like a normal function. The app below works but I am curious now after seeing the answer by @Stephane what the advantages are of using callModule approach over regular function approach
require("DT")
require("shiny")
makeTable <- function(dataframe) { DT::datatable(dataframe) %>%
formatStyle(names(dataframe), background = '#fff')
}
# User interface
ui <-
fluidPage(
sidebarLayout(
sidebarPanel(id="DT",
width = 4,
helpText(h4("Select")),
selectInput("selectedSpecies", label = "Species",
choices = c("setosa","versicolor","virginica"),
selected = "versicolor")
),
mainPanel(
dataTableOutput('Table1')
)
)
)
# Define server logic ----
server <- function(session, input, output) {
selectedIris <- reactive ( {
selected <- iris[which(iris$Species==input$selectedSpecies),]
selected
})
output$Table1 <- renderDataTable(makeTable(selectedIris()))
}
# Run the app ----
shinyApp(ui = ui, server = server)
来源:https://stackoverflow.com/questions/55329237/how-to-update-dt-datatable-in-shiny-when-within-a-module-and-the-selection-crite