r - R Highcharter：工具提示自定义

Question

我在闪亮的仪表板中使用 highcharter 创建了一个图表，我正在尝试自定义工具提示。该图表是组合线和散点图。我希望它执行以下操作：

1）有一个悬停信息框（目前有一个用于线条和一个用于散点）

2) 能够使用系列 x 或 y 值中未使用的不同信息列

我希望工具提示为每个特定的 x 轴值显示以下信息（无论我将鼠标悬停在散点还是线上）。

总体

平均值：2 [平均值：data$avghours]

狗：1 [数据$动物：数据$小时]

下面是我编写的演示我的问题的示例代码：

library (shiny)
library (shinydashboard)
library (highcharter)


header <- dashboardHeader(title = "Example")

body <- dashboardBody(

  fluidRow(
    box(title = "example", status = "primary", solidHeader = TRUE, 
        highchartOutput("chart")
    )
   )
)

sidebar <- dashboardSidebar()

ui <- dashboardPage(header, sidebar, body)

server <- function(input, output) {

  date <- c(1,2,3,4,5,6,7,8,9,10)
  hours <- c(1,5,4,1,6,5,7,5,4,3)
  avghours <- c(2,2,2,3,3,3,2,2,2,2)
  animal <- c("dog","cat","cat","cat","cat","cat","cat","cat","dog","dog")
  data <- data.frame(date,hours,avghours,animal)

  output$chart <- renderHighchart({

    highchart() %>%
      hc_add_series(name = "Shipments", data=data$hours, type = "scatter", color = "#2670FF", marker = list(radius = 2), alpha = 0.5) %>%
      hc_add_series(name = "Rolling Mean", data=data$avghours, color = "#FF7900") %>%
      hc_yAxis(min = 0, title = list(text = "Hours")) %>%
      hc_tooltip(crosshairs = TRUE)

  })

}

shinyApp(ui, server)

Answer 1

首先，您需要添加所有数据，而不是只提供向量（向量没有您想要的工具提示的所有信息）。为此，您需要data使用参数中data.frame的 hcaes辅助函数更改参数mapping，以定义每个轴中使用的变量：

highchart() %>%
  hc_add_series(data = data, mapping = hcaes(x=date, y=hours), name = "Shipments", type = "scatter", color = "#2670FF", marker = list(radius = 2), alpha = 0.5) %>%
  hc_add_series(data = data, hcaes(date, avghours), name = "Rolling Mean", type = "line", color = "#FF7900") %>%
  hc_yAxis(min = 0, title = list(text = "Hours")) %>%
  hc_tooltip(crosshairs = TRUE)

然后您可以使用tooltipevery 中的参数hc_add_series来定义每个系列中的工具提示：

highchart() %>%
  hc_add_series(data = data, hcaes(date, hours), name = "Shipments", type = "scatter",
                tooltip = list(pointFormat = "tooltip with 2 values {point.animal}: {point.hours}")) %>%
  hc_add_series(data = data, hcaes(date, avghours), name = "Rolling Mean", type = "line",
                tooltip = list(pointFormat = "Avg hour text! {point.avghours}")) %>%
  hc_yAxis(min = 0, title = list(text = "Hours")) %>%
  hc_tooltip(crosshairs = TRUE)