在闪亮的应用程序中单击网络节点后更新数据表

这里有一个替代的解决方案,它允许选择多个节点,并且不使用 observe

另外,关于布局的一些评论:侧边栏和主面板布局是不需要的。我更喜欢在树上筑巢 fluidRow() 和 column() 明确定义面板,我在下面做了。

library(igraph)
library(visNetwork)
library(dplyr)
library(shiny)
library(shinythemes)
library(DT)

#dataset
id<-c("articaine","benzocaine","etho","esli")
label<-c("articaine","benzocaine","etho","esli")
node<-data.frame(id,label)

from<-c("articaine","articaine","articaine",
        "articaine","articaine","articaine",
        "articaine","articaine","articaine")
to<-c("benzocaine","etho","esli","benzocaine","etho","esli","benzocaine","etho","esli")
title<-c("SCN1A","SCN1A","SCN1A","SCN2A","SCN2A","SCN2A","SCN3A","SCN3A","SCN3A")

edge<-data.frame(from,to,title)


#app

ui <- fluidPage(

  # Generate Title Panel at the top of the app
  titlePanel("Network Visualization App"),

  fluidRow(
    column(width = 6,
           DTOutput('tbl')),
    column(width = 6,
           visNetworkOutput("network")) #note that column widths in a fluidRow should sum to 12
  ),
  fluidRow(column(width = 6), 
           column(width=6, "Click and hold nodes for a second to select additional nodes.")
  )

) #end of fluidPage


server <- function (input, output, session){

  output$network <- renderVisNetwork({
    visNetwork(nodes = node,edge) %>% 
      visOptions(highlightNearest=TRUE, 
                 nodesIdSelection = TRUE) %>%
      #allow for long click to select additional nodes
      visInteraction(multiselect = TRUE) %>%
      visIgraphLayout() %>% 

      #Use visEvents to turn set input$current_node_selection to list of selected nodes
      visEvents(select = "function(nodes) {
                Shiny.onInputChange('current_node_selection', nodes.nodes);
                ;}")

  })

  #render data table restricted to selected nodes
  output$tbl <- renderDT(
    edge %>% 
      filter((to %in% input$current_node_selection)|(from %in% input$current_node_selection)),
    options = list(lengthChange = FALSE)
  )

}

shinyApp(ui, server)

^{创建日期:2018-09-24 reprex package (第0.2.1版)}

我让它像:

#ui.r
    library(igraph)
    library(visNetwork)
    library(dplyr)
    library(shiny)
    library(shinythemes)
    library(DT)

    ui <- fluidPage(theme = shinytheme("cerulean"),  # Specify that the Cerulean Shiny theme/template should be used

                    # Generate Title Panel at the top of the app
                    titlePanel("Network Visualization App"),  

                    # Render as a sidebarLayout. Shiny expects that a sidebarPanel() function and a mainPanel() function are present.

                    sidebarLayout(

                      # Sidebar section. Can set the width of the sidebar for any value ranging from 1 to 12.

                      sidebarPanel(             
                      ), # End of the sidebar panel code

                      # Define the main panel
                      mainPanel(

                        h3("Network Visualization"),

                        # Plot the network diagram within the main panel. 
                        # Note that visNetworkOutput is not a Shiny package function, but a visNetwork package function.
                        visNetworkOutput("plot2"),

                          dataTableOutput("nodes_data_from_shiny"),
                          uiOutput('dt_UI')


                        ) # End of main panel code

                    )
    )
    #server.r
    library(igraph)
    library(visNetwork)
    library(dplyr)
    library(shiny)
    library(shinythemes)

    server <- function (input, output, session){


      # Use the renderVisNetwork() function to render the network data.

      output$plot2 <- renderVisNetwork({

        visNetwork(nodes,edge)%>% 
          visEvents(select = "function(nodes) {
                    Shiny.onInputChange('current_node_id', nodes.nodes);
                    ;}")%>%

          visOptions(highlightNearest=T, nodesIdSelection = T) %>%

          # Specify that hover interaction and on-screen button navigations are active
          visInteraction(hover = T, navigationButtons = T) %>%

          visIgraphLayout()

      })

      myNode <- reactiveValues(selected = '')

      observeEvent(input$current_node_id, {
        myNode$selected <<- input$current_node_id
      })
      output$table <- renderDataTable({
        edge[which(myNode$selected == edge$from),]
      })
      output$dt_UI <- renderUI({
        if(nrow(edge[which(myNode$selected == edge$from),])!=0){
          dataTableOutput('table')
        } else{}

      })
    }