R Shiny - Add new column to dataframe based on user selected input

Question

Very new to R Shiny! I've looked through a good 20 questions but they don't necessarily address the problem I'm facing.

I have a few dataframes generated from API calls that look something like this:

Project.ID        Author.ID    Author.Name     Fav.Color
Test_Project1      1234             Bob        Green
Test_Project1      2345            Jane         Blue
Test_Project1      2687            Eric         Blue
Test_Project1      8765            Tom           Red

My goal is to allow users to select a column from the dataframe using a dropdown, select some values to compare from that column using some checkboxes, and add a new column to the same frame reflecting the comparisons that they wanted to make. It should look like this:

Project.ID      Author.ID    Author.Name     Fav.Color    RedvBlue   GreenvRed
Test_Project1    1234            Bob        Green          NA      Green
Test_Project1    2345            Jane         Blue        Blue     NA   
Test_Project1    2687            Eric         Blue        Blue     NA
Test_Project1    8765            Tom           Red         Red     Red

ui.R

ui <- fluidPage(

  sidebarPanel(
     selectInput("viewType", 
                 label = "Select to view:",
                 choices = c(' ', "Projects"), #will have other dataframes to select from 
                 selected = ' '),
     conditionalPanel(
       condition = "input.viewType =='Projects'",
       uiOutput("projectSelection"),
       uiOutput("showMeta"), 
       uiOutput("showVal"),
       textOutput("text")
     )
  ),

  mainPanel(
    DT::dataTableOutput("mytable")
  )
)

server.R

server <- function(input, output) {

    viewSelection <- reactive({
      if(input$viewType == "Projects"){
        projectDT <- getJSON("an API url")

        #replace spaces with dots in headers
        names(projectDT) <- gsub(" ", ".", names(projectDT))

        #show table
        output$mytable <- DT::renderDataTable(DT::datatable(projectDT))


        #Display columns from project to view
        output$showMeta <- renderUI({
          selectInput("metalab",
                      "Metadata Label:",
                      c(" ", unique(as.vector(colnames(projectDT))))
          )
        })

        #Display unique column values to choose from in checkbox
        #Gives Warning: Error in [.data.frame: undefined columns selected
        output$showVal <- renderUI({
          checkboxGroupInput("metaval",
                             "Metadata Value:",
                             choices = unique(as.vector(unlist(projectDT[input$metalab])))
          )
        })

      }

    })

    output$mytable <- DT::renderDataTable({DT::datatable(viewSelection())})  
}

I'm currently struggling to produce a new column in the dataframe based off the user's selections. So far, it displays what I would like it to in terms of the dropdown and checkboxes but I wasn't able to move any further with that. I'm not exactly sure where my problem lies - is my table rendering improperly, am I not adding a new column correctly?

I tried to access input$metalab and input$metaval but they return NULL outside a renderUI/renderText context. I've tried simply duplicating a column based on user choice but this doesn't work either:

projectDT['newCol'] = projectDT[input$metalab]

Any help is greatly appreciated! Sorry for the long blurb!

Bertil Baron · Accepted Answer · 2018-01-04 10:12:50Z

1

Hi is this something in the way of what you want to do?

server <- function(input, output, session) {
  # update datatable
  viewSelection <- reactive({
    if(input$viewType == "Projects"){
      projectDT <- read.table(header = TRUE,
                              text = "Project.ID,Author.ID,Author.Name,Fav.Color
Test_Project1,1234,Bob,Green
Test_Project1,2345,Jane,Blue
Test_Project1,2687,Eric,Blue
                              Test_Project1,8765,Tom,Red",
                              sep = ",")

      #replace spaces with dots in headers
      names(projectDT) <- gsub(" ", ".", names(projectDT))

      projectDT



    }

  })
  #show table
  output$mytable <- DT::renderDataTable(DT::datatable(viewSelection()))
  #Display columns from project to view
  observeEvent({input$addCol},{
    insertUI(
      selector = "#addCol",
      where = "beforeBegin",
      ui = div(
        uiOutput(paste0("showMeta",input$addCol)),
        uiOutput(paste0("showVal",input$addCol))
      )
    )
  })
  lapply(1:5, function(idx){
    output[[paste0("showMeta",idx)]] <- renderUI({
      selectInput(inputId =  paste0("metalab",idx),
                  label =  "Metadata Label:",
                  choices =  c(" ", unique(as.vector(colnames(viewSelection())))),
                  selected = input[[paste0("metalab",idx)]]
      )
    })
  })
  lapply(1:5,
         function(idx){
           output[[paste0("showVal",idx)]] <- renderUI({
             req(input$addCol >= idx)
             checkboxGroupInput(paste0("metaval",idx),
                                "Metadata Value:",
                                choices = unique(as.vector(unlist(viewSelection()[[input[[paste0("metalab",idx)]]]]))),
                                selected = input[[paste0("metaval",idx)]]
             )
             })
         })

  output$showMeta <- renderUI({
  })
    #Display unique column values to choose from in checkbox
    #Gives Warning: Error in [.data.frame: undefined columns selected
  output$showVal <- renderUI({
    checkboxGroupInput("showVal",
                       "Metadata Value:",
                       choices = unique(as.vector(unlist(viewSelection()[[input$metalab]])))
    )
  })

  output$mytable <- DT::renderDataTable({
    req(input$viewType == "Projects")
    projectDT <- viewSelection()
    dta <- NULL
    if(input$addCol > 0){
      dta <- lapply(seq(input$addCol), function(idx){
        if(!is.null(input[[paste0("metalab", idx)]]) &&
           input[[paste0("metalab",idx)]] != " "){
          ifelse(projectDT[[input[[paste0("metalab", idx)]]]] %in% input[[paste0("metaval", idx)]] ,as.character(projectDT[[input[[paste0("metalab", idx)]]]]),NA)
        }
      })
      names(dta) <- sapply(seq(input$addCol),function(idx){
        paste0("Compare",idx,"_",paste0(input[[paste0("metaval",idx)]],collapse = "vs"))
      })
      dta <- as_data_frame( dta[!sapply(dta,is.null)])
    }
    if(!is.null(dta) &&
       !is.null(projectDT) &&
       nrow(dta) == nrow(projectDT)){
      projectDT <- cbind(projectDT,dta)
    }
    DT::datatable(projectDT)})  

}

What I have done is that I have pulled all asignments of outputs out of the reactive statment. This is mainly I to make the code more stable.

Hope this helps!

edited Jan 4, 2018 at 10:12

answered Jan 3, 2018 at 22:37

Bertil Baron

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3 Comments

carasg Over a year ago

Thank you so much for answering! This is very close to what I would like to do! In your answer, you made it such that the user can add a single new column but how would it be possible to add more than one column? In my illustration above, after the user has created a new column RedvBlue, they're also able to add another column GreenvRed. Sorry if this is a dumb question and thank you for your help!

Bertil Baron Over a year ago

@carasg Oh das was a bit harder but I think I managed ;-) Any way the User can now add up to 5 new columns

carasg Over a year ago

Thank you so much! It does exactly what I want now!

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