Exclude data points by click in plotly in a shiny app r-CodePudding

I want to exclude certain data points that are selected by the user by clicking, like in this example (but using plotly). I tried to do it with the code i show below but it doesnt work.

What i'm triying to do is identify the position of the data point and then once i get the position, set the var delete as TRUE if the row_number() is in the set of selected data points and then just filter is delete is TRUE.

I dont know if this is the most effient form to perfom that.

I would appreciate any help or guidance.

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


n   <- 20
x   <- 1:n 
y   <- cumsum(rnorm(n))
z   <- runif(n,10,200)
cat <- sample(letters[1:5],n,replace = TRUE)
delete <- FALSE


df<-data.frame(cat,x,y,z, delete)

ui <- fluidPage(
  
  selectInput("var","var", c("y","z"), "y"),
  mainPanel(plotlyOutput("plot")),
  verbatimTextOutput("selection"),
  actionButton("delete","Delete", style = "display:inline-block;"),
  actionButton("reset","Reset", style = "display:inline-block;"),
  
  
)

server <- function(input, output, session) {
  
  myData <- reactive({df})
  
  output$plot <- renderPlotly({
   
   plot_ly(myData(), 
           x = ~x,
           y = ~get(input$var), 
           type = "scatter", 
           mode = "markers",
           text = ~cat,
           marker = list(size = 10),
           source = "A")
   
   
 })
  
  p1 <- reactive({

   event_data("plotly_click", source = "A")

 })

  p2 <- reactiveValues(points = c())

  observeEvent(p1(),{

   p2$points <- c(p2$points,as.list(p1())$pointNumber)

 })

  observeEvent(input$reset,{

   p2$points <- c()

 })

  output$selection <- renderPrint({ if(length(p2$points 1)<1){"Select data points to delete"}else{(p2$points 1)} })


 observeEvent(input$delete,{

   myData()  <- myData() %>%
       mutate(delete = ifelse(row_number() %in% c(p2$puntos 1),TRUE,delete)) %>%
       filter(!delete)
 })


}

shinyApp(ui, server)

CodePudding user response：

Nice trick with event_data there! I think all that's needing done differently is to make myData$df a named reactiveValue (with one small correction to p2$points lower down). This works for me now:

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


n   <- 20
x   <- 1:n 
y   <- cumsum(rnorm(n))
z   <- runif(n,10,200)
cat <- sample(letters[1:5],n,replace = TRUE)
delete <- FALSE


df<-data.frame(cat,x,y,z, delete)

ui <- fluidPage(
  
  selectInput("var","var", c("y","z"), "y"),
  mainPanel(plotlyOutput("plot")),
  verbatimTextOutput("selection"),
  actionButton("delete","Delete", style = "display:inline-block;"),
  actionButton("reset","Reset", style = "display:inline-block;"),
  
  
)

server <- function(input, output, session) {
  
  myData <- reactiveValues(df = df)
  
  output$plot <- renderPlotly({
    
    plot_ly(myData$df, 
            x = ~x,
            y = ~get(input$var), 
            type = "scatter", 
            mode = "markers",
            text = ~cat,
            marker = list(size = 10),
            source = "A")
    
    
  })
  
  p1 <- reactive({
    
    event_data("plotly_click", source = "A")
    
  })
  
  p2 <- reactiveValues(points = c())
  
  observeEvent(p1(),{
    
    p2$points <- c(p2$points,as.list(p1())$pointNumber)
    
  })
  
  observeEvent(input$reset,{
    
    p2$points <- c()
    
  })
  
  output$selection <- renderPrint({ if(length(p2$points 1)<1){"Select data points to delete"}else{(p2$points 1)} })
  
  
  observeEvent(input$delete,{
    # browser()
    myData$df <- myData$df %>%
      mutate(delete = ifelse(row_number() %in% c(p2$points 1),TRUE,delete)) %>%
      filter(!delete)
    
    # And clear input?
    p2$points <- c()
  })
  
  
}

shinyApp(ui, server)