在Shiny和ggplotly上懸停其他信息

Question

我一直在這個站點上沖浪，以查找有關Shiny和Plotly（ggplotly）的問題的答案，但是這些還不夠。 我正在嘗試自定義ggplotly的懸停框文本。 當您將鼠標懸停在繪圖的任意點上時，我會在該框文本中包含更多變量。

我已經嘗試過這種解決方案
有什么辦法在具有光澤/ ggplot的懸停上顯示x和y以外的數據幀信息？ 這個： 閃亮：鼠標懸停點帶有垂直線和數據標簽的交互式ggplot

沒有任何成功的結果

我正在嘗試為足球數據創建可視化，我有一個巨大的df，其中包含以下變量：

     [1] "ID"              "Nombre"          "Apellido"        "Rol"            
 [5] "Tecnica"         "Club"            "Competicion"     "Nacionalidad"   
 [9] "PrimerToque"     "Dribbling"       "Versatilidad"    "Pases"          
[13] "Centros"         "Remate"          "TiroLibre"       "Cabezazo"       
[17] "TiroLejano"      "SaqueLateral"    "Marcaje"         "Penales"        
[21] "Tacle"           "Corner"          "Aceleracion"     "Stamina"        
[25] "Fuerza"          "Agilidad"        "Balance"         "TendenciaLesion"
[29] "Salto"           "FormaNatural"    "Velocidad"       "FechaNacimiento"
[33] "AnoNacimiento"   "CA"              "PA"              "RepHome"        
[37] "RepActual"       "RepMundial"      "Consistencia"    "Altura"         
[41] "Peso"            "Posicion"  

這是我的用戶界面文件

library("shiny")
library("shinythemes")
library("shinyWidgets")
library("shinydashboard")
library("leaflet")
library("ggplot2")
library("dplyr")
library("ggrepel")
library("plotly")

ui <- shinyUI(fluidPage(

  # Application title
  titlePanel("Graph"),       

  sidebarLayout(
    sidebarPanel(
      selectizeInput("Atributo1",  #xaxis 
                     label = "AtributoX",
                     choices = c("Centros", "Pases", "PrimerToque", "Remate", "Tecnica","Dribbling","TiroLejano",
                                 "TiroLibre", "SaqueLateral","Penales", "Corner" ,"Cabezazo", "Salto", "Aceleracion",
                                 "Stamina", "Fuerza","Agilidad","Balance","TendenciaLesion","FormaNatural","Velocidad", 
                                 "Marcaje", "Tacle","Consistencia", "Versatilidad", "CA", "RepHome"), selected ="CA"),
      selectizeInput("Atributo2",  #yaxis 
                     label = "AtributoY",
                     choices = c("Centros", "Pases", "PrimerToque", "Remate", "Tecnica","Dribbling","TiroLejano",
                                 "TiroLibre", "SaqueLateral","Penales", "Corner" ,"Cabezazo", "Salto", "Aceleracion",
                                 "Stamina", "Fuerza","Agilidad","Balance","TendenciaLesion","FormaNatural","Velocidad", 
                                 "Marcaje", "Tacle","Consistencia", "Versatilidad", "CA", "RepHome")),

      sliderInput("numero", "Numero de Jugadores a Mostrar:",
                  value = 10, min = 1, max = 50, round = TRUE, dragRange = FALSE),
      numericInput("Edad1", "Edad:", 42, value = 17),
      numericInput("Edad2", "Edad:", 42),

      sliderTextInput("Posicion","Posicion" , 
                      choices = c("GK","DL","DR","DC","DM","MC","ML","MR","AMC", "ST"), 
                      selected = c("MC"), #incase you want all values by default 
                      animate = FALSE, grid = FALSE, 
                      hide_min_max = FALSE, from_fixed = FALSE,
                      to_fixed = FALSE, from_min = NULL, from_max = NULL, to_min = NULL,
                      to_max = NULL, force_edges = FALSE, width = NULL, pre = NULL,
                      post = NULL, dragRange = TRUE),
      radioButtons("Color", label = "Color Por:",
                   choices = list("Club" = "Club", "Division" = "Competicion"), 
                   selected = "Club")
    ),          

    mainPanel(

      plotlyOutput("distPlot")
    )
  )
))

和我的服務器文件

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

  output$distPlot <- renderPlotly({ #Plot tipo Plotly

    n <- input$numero
    if (is.null(n)) {
      n <- 1
    }

    dfjoin <- readRDS("dfjoin.rds")

    a <- reactive({
    dfjoin %>% filter(Posicion == input$Posicion) %>% filter(FechaNacimiento >= input$Edad1 & FechaNacimiento <= input$Edad2) %>% top_n(n, CA)
    })

    p <- ggplot(a(), aes_string(x = input$Atributo1, y = input$Atributo2, 
                              label = "Apellido", colour = input$Color)) + 
      geom_text(position=position_jitter(h=1,w=1), check_overlap = TRUE) +
      labs(colour= input$Color, title= paste("Grafico", input$Atributo1, "/",  input$Atributo2, sep =" ")) +
      theme(legend.position = "none")

    p <- ggplotly(p)

    print(p)
  })
})

目前，我僅獲得默認的懸停信息，即標簽，X軸，Y軸和顏色。 我想自定義並包括另一個變量，如“名”和“姓”。 類似於：paste（Nombre，Apellido，sep =“”）

我在工具提示中嘗試了該行：

$ggplotly(p, Tooltip = paste(Nombre,Apellido, sep = " "))

但沒有工作。

提示：西班牙語：Nombre =名字Apellido：姓

Answer 1

我一直這樣做：

https://github.com/Bustami/DatoFutbol/blob/master/libertadores2019/shiny-app/server.R

基本上，使用HTML語法創建一個包含您感興趣的所有文本（調用用戶選擇的變量）的新列，然后將其與ggplot內的“ label”參數和ggplotly內的“ tooltip”一起使用。