Rstudio发亮，无法使用ggvis

Question

我有一个RStudio闪亮的服务器正在运行，我从https://github.com/rstudio/ggvis安装了ggvis，但是我无法在服务器中复制任何演示示例。

当我在服务器上安装相同版本的R (3.1.0)时，我可以执行以下操作：

> library("shiny")
> library("ggvis")
The ggvis API is currently rapidly evolving. We strongly recommend that you do not rely on this for production, but feel free to explore. If you encounter a clear bug, please file a minimal reproducible example at https://github.com/rstudio/ggvis/issues. For questions and other discussion, please use https://groups.google.com/group/ggvis.

Attaching package: "ggvis"

The following object is masked from "package:stats":

    filter

> ggvis::ggvisOutput
function (plot_id = rand_id("plot_id")) 
{
    ggvisOutputElements(plot_id, spec = NULL, shiny = TRUE)
}
<environment: namespace:ggvis>

但是，当我在其中一个演示文件夹中尝试这个示例时：

# ui.R
shinyUI(pageWithSidebar(
  div(),
  sidebarPanel(
    sliderInput("n", "Number of points", min = 1, max = nrow(mtcars),
                value = 10, step = 1),
    uiOutput("plot_ui")
  ),
  mainPanel(
    ggvisOutput("plot"),
    tableOutput("mtc_table")
  )
))

# server.R   
library("ggvis", lib.loc="/opt/R/R-3.1.0/lib64/R/library")))

shinyServer(function(input, output, session) {
  # A reactive subset of mtcars
  mtc <- reactive({ mtcars[1:input$n, ] })

  # A simple visualisation. In shiny apps, need to register observers
  # and tell shiny where to put the controls
  mtc %>%
    ggvis(~wt, ~mpg) %>%
    layer_points() %>%
    bind_shiny("plot", "plot_ui")

  output$mtc_table <- renderTable({
    mtc()[, c("wt", "mpg")]
  })
})

我得到：

ERROR: could not find function "ggvisOutput"

用ggvisOutput语句注释掉行，然后正常呈现页面，但没有情节。

有什么想法吗？

Answer 1

源ggvis在您的ui.R文件中(例如这里的http://128.199.255.233:3838/userApps/john/ggvistest/)：

ui.R

library("ggvis")
shinyUI(pageWithSidebar(
  div(),
  sidebarPanel(
    sliderInput("n", "Number of points", min = 1, max = nrow(mtcars),
                value = 10, step = 1),
    uiOutput("plot_ui")
  ),
  mainPanel(
    ggvisOutput("plot"),
    tableOutput("mtc_table")
  )
))

server.R

library(shiny)
library(ggvis)
shinyServer(function(input, output, session) {
  # A reactive subset of mtcars
  mtc <- reactive({ mtcars[1:input$n, ] })

  # A simple visualisation. In shiny apps, need to register observers
  # and tell shiny where to put the controls
  mtc %>%
    ggvis(~wt, ~mpg) %>%
    layer_points() %>%
    bind_shiny("plot", "plot_ui")

  output$mtc_table <- renderTable({
    mtc()[, c("wt", "mpg")]
  })
})