Question

我有一个闪亮的应用程序，它根据x和y变量的用户输入更新散点图。我希望能够在工具提示中获得x和y的数据，并在用户在x和y轴上更新他们想要的内容时进行更新。下面是一些示例代码，其中有2个尝试此问题（第二次尝试已注释掉）。请注意，我已添加到Iris数据集，以根据数据集中的行号为每个数据点提供唯一的ID。

#Check packages to use in library
{
library('shiny') #allows for the shiny app to be used
library('stringr') #string opperator
library('ggvis') #allows for interactive ploting
library('dplyr')
library('RSQLite')
}

alldata <- iris

#adds a column of a unique ID for each row
alldata$ID <- 1:nrow(alldata)

# UI

ui<-fluidPage(
titlePanel("Iris"),
fluidRow(
column(12,
       ggvisOutput("plot1")
),
column(4,
       wellPanel(
         h4("Data Variables"),
         selectInput(inputId = "x", label="Select x-axis Variable:", choices=as.character(names(alldata[,1:4])),selected='Petal.Length', multiple = FALSE),
         selectInput(inputId = "y", label="Select y-axis Variable:", choices=as.character(names(alldata[,1:4])),selected='Petal.Width', multiple = FALSE)
       ))
))

#SERVER
server<-function(input,output,session)
{
# Function for generating tooltip text
my_tooltip <- function(tt) {
if (is.null(tt)) return(NULL)
if (is.null(tt$ID)) return(NULL)

# Pick out the shot with this ID
alldata <- isolate(alldata)
Datapoint <- alldata[alldata$ID == tt$ID, ]

paste0("<b>", "Species: ", Datapoint$`Species`, 
       "</b><br>", "ID: ", Datapoint$`ID`,
       "<br>", "X Variable: ", Datapoint$`input$x`,
       "<br>", "Y Variable: ", Datapoint$`input$y`
       # "<br>", "X Variable: ", Datapoint %>% `input$x`,
       # "<br>", "Y Variable: ", Datapoint %>% `input$y`
)
}

vis <- reactive({

xvar <- prop("x", as.symbol(input$x))
yvar <- prop("y", as.symbol(input$y))

p1 = alldata %>%
  ggvis(x = xvar, y = yvar) %>%
  layer_points(size.hover := 200,
               fillOpacity:= 0.5, fillOpacity.hover := 1,
               fill = ~Species,
               key := ~ID
  ) %>%

  # Adds the previously defined tool_tip my_tooltip
  add_tooltip(my_tooltip, "hover")

  # Specifies the size of the plot
  # set_options(width = 800, height = 450, duration = 0)
})

#Actually plots the data
vis %>% bind_shiny("plot1")
}

#Run the Shiny App to Display Webpage
shinyApp(ui=ui, server=server)

Answer 1

一个选项是仅对工具提示功能中感兴趣的列进行子集化，然后显示此数据集中的所有值。

my_tooltip <- function(tt) {
        if (is.null(tt)) return(NULL)
        if (is.null(tt$ID)) return(NULL)

        Datapoint <- alldata[alldata$ID == tt$ID, c("Species", "ID", input$x, input$y)]

        paste0(names(Datapoint), ": ", format(Datapoint), collapse = "<br />")
    }

或者直接使用，例如input$x，因为这些是字符，因此很容易从数据集中提取并用作工具提示名称。

my_tooltip <- function(tt) {
        if (is.null(tt)) return(NULL)
        if (is.null(tt$ID)) return(NULL)

        Datapoint = alldata[alldata$ID == tt$ID, ]

        paste0("<b>", "Species: ", Datapoint$`Species`,
              "</b><br>", "ID: ", Datapoint$`ID`,
              "<br>", input$x, ": ", Datapoint[[input$x]],
              "<br>", input$y, ": ", Datapoint[[input$y]])
    }

在ggvis工具提示中显示绘图数据

1 个答案: