Combining renderUI, dataTableOutput, renderDataTable, and reactive

[ndr]

I would like to have the DT::renderDataTable inside the renderUI and then have the output of the renderUI used in the reactive.

This is what I'm doing:

suppressPackageStartupMessages(library(dplyr))
suppressPackageStartupMessages(library(plotly))
suppressPackageStartupMessages(library(shiny))


#data.frames to be used in the server
set.seed(1)
coordinate.df <- data.frame(coordinate_id = paste0("c", 1:1000),x = rnorm(1000), y = rnorm(1000), stringsAsFactors = F)
feature.df <- data.frame(coordinate_id = rep(paste0("c", 1:1000), 10), feature_id = rep(paste0("f", 1:10), 1000), value = rnorm(10*1000), stringsAsFactors = F)
feature.rank.df <- feature.df %>% dplyr::select(feature_id) %>% unique() %>% dplyr::mutate(rank=sample(1:10,10,replace = F)) %>% dplyr::arrange(rank)

feature.color.vec <- c("lightgray","darkred")

server <- function(input, output)
{

  output$feature.idx <- renderUI({
    output$feature.table <- DT::renderDataTable(feature.rank.df, server = FALSE, selection = "single")
    DT::dataTableOutput("feature.table")
  })

  feature.plot <- reactive({
    if(!is.null(input$feature.idx)){
      feature.id <- feature.rank.df$feature_id[input$feature.idx]
      plot.title <- feature.id
      plot.df <- suppressWarnings(feature.df %>%
                                    dplyr::filter(feature_id == feature.id) %>%
                                    dplyr::left_join(coordinate.df,by = c("coordinate_id"="coordinate_id")))
      feature.plot <- suppressWarnings(plotly::plot_ly(marker=list(size=3),type='scatter',mode="markers",color=plot.df$value,x=plot.df$x,y=plot.df$y,showlegend=F,colors=colorRamp(feature.color.vec)) %>%
                                        plotly::layout(title=plot.title,xaxis=list(zeroline=F,showticklabels=F,showgrid=F),yaxis=list(zeroline=F,showticklabels=F,showgrid=F)) %>%
                                        plotly::colorbar(limits=c(min(plot.df$value,na.rm=T),max(plot.df$value,na.rm=T)),len=0.4,title="Value"))
    }
    feature.plot
  })

  output$outPlot <- plotly::renderPlotly({
    feature.plot()
  })
}


ui <- fluidPage(
  titlePanel("Results Explorer"),
  sidebarLayout(
    sidebarPanel(
      uiOutput("feature.idx")
    ),

    mainPanel(
      plotly::plotlyOutput("outPlot")
    )
  )
)

shinyApp(ui = ui, server = server)

It does load the feature.rank.df data.frame but it then prints this error message to the main panel:

Error: no applicable method for 'plotly_build' applied to an object of class "c('reactiveExpr', 'reactive')"

And nothing gets plotted upon row selection in the table in the side panel.

Any idea what the solution is?

[nirgrahamuk]

section 2.1.1 https://rstudio.github.io/DT/shiny.html rows selection.
you can select rows from a datatable (by its unique id) , not by a renderUI that contains it.

suppressPackageStartupMessages(library(dplyr))
suppressPackageStartupMessages(library(plotly))
suppressPackageStartupMessages(library(shiny))


#data.frames to be used in the server
set.seed(1)
coordinate.df <- data.frame(coordinate_id = paste0("c", 1:1000),x = rnorm(1000), y = rnorm(1000), stringsAsFactors = F)
feature.df <- data.frame(coordinate_id = rep(paste0("c", 1:1000), 10), feature_id = rep(paste0("f", 1:10), 1000), value = rnorm(10*1000), stringsAsFactors = F)
feature.rank.df <- feature.df %>% dplyr::select(feature_id) %>% unique() %>% dplyr::mutate(rank=sample(1:10,10,replace = F)) %>% dplyr::arrange(rank)

feature.color.vec <- c("lightgray","darkred")

server <- function(input, output)
{
  
  output$feature.idx <- renderUI({
    output$feature.table <- DT::renderDataTable(feature.rank.df, server = FALSE, selection = "single")
    DT::dataTableOutput("feature.table")
  })
  
  feature.plot <- reactive({
    if(!is.null(input$feature.table_rows_selected)){
      feature.id <- feature.rank.df$feature_id[input$feature.table_rows_selected]
      plot.title <- feature.id
      plot.df <- suppressWarnings(feature.df %>%
                                    dplyr::filter(feature_id == feature.id) %>%
                                    dplyr::left_join(coordinate.df,by = c("coordinate_id"="coordinate_id")))
      feature.plot <- suppressWarnings(plotly::plot_ly(marker=list(size=3),type='scatter',mode="markers",color=plot.df$value,x=plot.df$x,y=plot.df$y,showlegend=F,colors=colorRamp(feature.color.vec)) %>%
                                         plotly::layout(title=plot.title,xaxis=list(zeroline=F,showticklabels=F,showgrid=F),yaxis=list(zeroline=F,showticklabels=F,showgrid=F)) %>%
                                         plotly::colorbar(limits=c(min(plot.df$value,na.rm=T),max(plot.df$value,na.rm=T)),len=0.4,title="Value"))
    } else{
      feature.plot <- NULL
    }
    feature.plot
  })
  
  output$outPlot <- plotly::renderPlotly({
    feature.plot()
  })
}


ui <- fluidPage(
  titlePanel("Results Explorer"),
  sidebarLayout(
    sidebarPanel(
      uiOutput("feature.idx")
    ),
    
    mainPanel(
      plotly::plotlyOutput("outPlot")
    )
  )
)

shinyApp(ui = ui, server = server)