rshinydtmodularization

R Shiny, DT::replaceData in callModule not working


In an R Shiny application, I am trying to use DT::replaceData to update the data to show with current state (e.g. filtering) preserved. While it works with a simple shiny app, it does not when I modularize the app and invoke from callModule.

In the example below, choosing species in the top box is supposed to trigger replacement of data to show below.

Here is a working example:

library(shiny)

ui <- fluidPage(
  selectInput('species', 'Choose Species',
              choices=unique(iris$Species),
              selected=unique(iris$Species), multiple=TRUE),
  DT::dataTableOutput('dt')
)

server <- function(input, output, session) {
  output$dt <- DT::renderDataTable({
    DT::datatable(
      iris, filter='top',
      options = list(autoWidth=TRUE)
    )
  })

  observeEvent(is.null(input$species), {
    DT::replaceData(
      DT::dataTableProxy('dt'),
      dplyr::filter(iris, Species %in% input$species)
    )
  })
}

shinyApp(ui, server)

And this is the modularized version that is not working:

library(shiny)

ui <- function(id) {
  ns <- NS(id)
  tagList(
    selectInput(ns('species'), 'Choose Species',
                choices=unique(iris$Species),
                selected=unique(iris$Species), multiple=TRUE),
    DT::dataTableOutput(ns('dt'))
  )
}

server <- function(input, output, session) {
  output$dt <- DT::renderDataTable({
    DT::datatable(
      iris, filter='top',
      options = list(autoWidth=TRUE)
    )
  })

  observeEvent(is.null(input$species), {
    print(input$species)
    DT::replaceData(
      DT::dataTableProxy('dt'),
      dplyr::filter(iris, Species %in% input$species)
    )
  })
}


mainUi <- fluidPage(ui('app'))
mainSrv <- function(input, output, session) {
  callModule(server, 'app')
}
shinyApp(mainUi, mainSrv)

I would like to know why the second example does not work, and how to fix it if possible.


Update

Solved!

It has been fixed since DT v0.3. See: https://github.com/rstudio/DT/issues/357


Solution

  • It has been solved since v3.0. Reference: https://github.com/rstudio/DT/issues/357

    So, simply solved by:

    install.packages('DT')
    packageVersion('DT')
    # [1] ‘0.4’