Highcharter 和 Shiny，服务器功能中的反应性 dataset/mutated 数据集无法正常工作

Question

当我尝试使用基于 selectInput 值分组和汇总的数据集在 Shiny 中生成一个 highcharter barplot 并且这些相同的值在 hcaes() 中被引用时，我得到错误“object 'input' not找到

我也试过 hcaes_string() 然后我得到“找不到对象 'My.Variable'” 但是当我输入 My.Variable 时，它会生成 hchart 所以它可以与在服务器函数中创建的数据集进行交互。显然，我想通过下拉菜单在 My.Variable 和 My.Variable2 之间切换。我已尝试将汇总数据集分配给反应对象，但随后出现错误“hchart 不支持 class/type reactiveExpr/reactive/function 的对象”。

我已经研究了好几个小时了，这是我在 Whosebug 上的第一个问题。我装配了一个示例数据集，以便代码可重现，并且我已将 R 和 RStudio 更新到最新版本。

library('highcharter')
library('plyr')
library('dplyr')
library('tidyr')
library('lubridate')
library('stringr')
library('tools')
library('shiny')

#demo <- read.csv("data/name-change-analysis.csv",stringsAsFactors = FALSE)

indiv <- rep(c('p1','p2','p3','p4','p5'),4)
Name.Change <- rep(c('yes','yes','no','yes','no'),4)
Overall.Category <- rep(c('against','support','support','neutral','against'),4)
Race <- rep(c('Black','White','White','Asian','White'),4)
Gender <- rep(c('Male','Male','Male','Female','Male'),4)

demo <- as.data.frame(cbind(indiv,Name.Change,Overall.Category,Race,Gender))

ui <- 
  navbarPage(
    "Responses by demographics",
    tabPanel(
      "Manual labels",
      fluidPage(
        fluidRow(
          column(
            selectInput(
              "category",
              label = "Select a demographic category:",
              choices = c("Race",
                          "Gender" = "gender")
            ),
            width = 6
          ),
          column(
            selectInput(
              "name_or_overall",
              label = "Response Category",
              choices = c(
                "Name Change" = "Name.Change",
                "Overall Category" = "Overall.Category"
              ),
              width = "100%"
            ),
            width = 6
          )
        ),
        highchartOutput("hcontainer")
      )
    ),
    collapsible = TRUE
  )

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

output$hcontainer <- renderHighchart({
  
  demo %>%
    group_by(input$category,input$name_or_overall) %>%
    summarise(count = n()) %>%
    hchart(type = "bar",
           hcaes(y = "count",
                 x = as.name(input$category),
                 group = as.name(input$name_or_overall))) %>%
    hc_plotOptions(bar = list(stacking = "percent")) %>%
    hc_tooltip(shared = TRUE)
  
})
}

shinyApp(ui,server)

Answer 1

试试这个

  output$hcontainer <- renderHighchart({
    df1 <- demo %>% mutate(var1=demo[[as.name(input$category)]], var2=demo[[as.name(input$name_or_overall)]])
    df <- df1 %>% group_by(var1,var2) %>% summarise(count = n())
    highchart() %>% 
      hc_add_series(df, type = "bar",
                    hcaes(y = "count",
                          x = "var1",
                          group = "var2")) %>%
      hc_plotOptions(bar = list(stacking = "percent")) %>%
      hc_tooltip(shared = FALSE)
  })

您将得到以下输出：

Highcharter 和 Shiny，服务器功能中的反应性 dataset/mutated 数据集无法正常工作

Highcharter and Shiny with reactive dataset/mutated dataset within server function not working

r

data-visualization

shiny

reactive

r-highcharter