Question

我希望在此处实现此ggplotly错误修复：

https://community.plot.ly/t/bug-with-ggplot2-stat-ecdf-function/1187/4

变成有光泽的反应表达式。下面的顶部图显示了Shiny中的ggplot()通话结果（如预期），底部是ggplotly()的通话结果。

当我尝试在反应表达式中插入data <- data[order(data$val), ]时，我无法按照修复建议的方式进行子集设置：Error in data$val : object of type 'closure' is not subsettable，而且似乎找不到其他工作位置

可复制的app.r：

library(tidyverse)
library(shiny)
library(shinydashboard)
library(plotly)

 # generate sample p & t observation data
 zone <- c(rep("a", 6), rep("b", 6), rep("c", 6), rep("d", 6))
 set.seed(1)
 val <- rnorm(24, 12, 18)
 param <- rep(c("p", "t"), 12)
 p_t <- data.frame(zone, val, param, stringsAsFactors = FALSE)

# sample elevation frequency data - too many obs to uncount all at once
set.seed(2)
val <- sample(50, 24)
count <- sample(200000, 24)
 e_countcsv <- data.frame(zone, val, count,  stringsAsFactors = FALSE) %>%
                mutate(param = "elev")

 shinyApp(

 ui = fluidPage(

 sidebarLayout(sidebarPanel(

  selectizeInput(
    "zone", "zone", choices = unique(p_t$zone),
    selected = c("a"),
    multiple = TRUE),

  checkboxGroupInput("param", "parameter",
                     choices = c("elev", "p", "t"), selected =c("elev", "p"))
  ),

mainPanel(

  tabsetPanel(position=c("right"),

              tabPanel(strong("static cdf"), 
                       br(),
                       plotOutput("reg_plot",  height = "750px")) ,

              tabPanel(strong("interactive cdf"), 
                       br(),
                       plotlyOutput("plotlyPlot",  height = "750px")) )))

),

server = function(input, output) {

data <- reactive({

  p_t %>%
    filter(param %in% input$param,
           zone %in% input$zone) %>%
    bind_rows({e_countcsv %>%
        filter(param %in% input$param,
               zone %in% input$zone) %>%
        uncount(count)})

})

output$reg_plot <- renderPlot({

  ggplot(data(), aes(val, color = param, linetype = zone)) +
    labs(y = "proportion of total", x = NULL) +
    stat_ecdf(pad = FALSE)  + coord_flip()
})

output$plotlyPlot <- renderPlotly({

 p <-  ggplot(data(), aes(val, color = param, linetype = zone)) +
    labs(y = "proportion of total", x = NULL) +
    stat_ecdf(pad = FALSE)  + coord_flip()
  p <- ggplotly(p)
  p

  })

}  
)

有什么想法吗？谢谢！

Answer 1

就像@MrGumble一样，建议您不要使用数据作为名称，因为它指向功能（尝试在控制台中打印数据，您将看到该功能）。

只需给您的反应表达式中的数据集起一个其他名称，它将起作用：

data <- reactive({
  dataset <- p_t %>%
    filter(param %in% input$param,
           zone %in% input$zone) %>%
    bind_rows({e_countcsv %>%
        filter(param %in% input$param,
               zone %in% input$zone) %>%
        uncount(count)})
  dataset[order(dataset$val), ]
})

ggplot stat_ecdf（）具有闪亮的反应表达式

1 个答案: