【问题标题】:Pandoc document conversion failed when trying to add selectInput() to flexdashboard尝试将 selectInput() 添加到 flexdashboard 时,Pandoc 文档转换失败
【发布时间】:2022-01-22 21:00:18
【问题描述】:

我正在尝试向我的 flexdashboard 添加一个简单的 selectInput(),但我得到了:

File shared/selectize/css/selectize.bootstrap3.css not found in resource path
Error: pandoc document conversion failed with error 99
Execution halted

---
title: "My Dashboard"
output: flexdashboard::flex_dashboard
---
  
### Chart 1

```{r}
library(readr)
library(haven)
library(shiny)

subs<-structure(list(Sold_Pr = c(6500, 173000, 60000, 73000, 155000, 
105000, 140000, 39900, 73500, 46000, 99900, 180000, 164000, 120000, 
206000, 160000, 67400, 215000, 145000, 175000, 350000, 425000, 
435000, 490000, 545000, 585000), Area = structure(c(1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("411", "415", "981", 
"8001", "8002", "8003", "8004", "8005", "8006", "8007", "8008", 
"8009", "8010", "8011", "8012", "8013", "8014", "8015", "8016", 
"8017", "8018", "8019", "8020", "8021", "8022", "8023", "8024", 
"8025", "8026", "8027", "8028", "8029", "8030", "8031", "8034", 
"8035", "8037", "8038", "8039", "8040", "8041", "8042", "8043", 
"8044", "8045", "8046", "8047", "8048", "8049", "8050", "8051", 
"8052", "8053", "8055", "8056", "8057", "8058", "8059", "8060", 
"8061", "8062", "8063", "8064", "8065", "8066", "8067", "8068", 
"8069", "8070", "8071", "8072", "8073", "8074", "8075", "8076", 
"8077"), class = "factor"), Closed_Date = structure(c(18668, 
18933, 18716, 18740, 18639, 18845, 18708, 18676, 18733, 18695, 
18715, 18709, 18794, 18803, 18750, 18787, 18906, 18810, 18855, 
18870, 18626, 18786, 18808, 18864, 18961, 18914), class = "Date")), row.names = c(NA, 
-26L), class = c("tbl_df", "tbl", "data.frame"))

selectInput("ar", label = "Select Area:",
            choices =unique(subs$Area), selected = unique(subs$Area)[1])

```

【问题讨论】:

    标签: r shiny flexdashboard


    【解决方案1】:

    不知道这个问题的原因是什么。可能与支持更新版本 Bootstrap 的持续努力有关。无论如何,您可以通过指定要在 YAML 中使用的引导程序版本来使您的代码工作,如下所示(另见vignette):

    注意:我还必须指定 bootswatch 主题才能获得默认的 flexdashboard 外观。

    ---
    title: "My Dashboard"
    output: 
      flexdashboard::flex_dashboard:
        theme:
          version: 3
          bootswatch: cosmo
    ---
      
    ### Chart 1
    
    ```{r}
    library(readr)
    library(haven)
    library(shiny)
    
    subs <- structure(list(Sold_Pr = c(
      6500, 173000, 60000, 73000, 155000,
      105000, 140000, 39900, 73500, 46000, 99900, 180000, 164000, 120000,
      206000, 160000, 67400, 215000, 145000, 175000, 350000, 425000,
      435000, 490000, 545000, 585000
    ), Area = structure(c(
      1L, 1L, 1L,
      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
      1L, 2L, 2L, 2L, 2L, 2L, 2L
    ), .Label = c(
      "411", "415", "981",
      "8001", "8002", "8003", "8004", "8005", "8006", "8007", "8008",
      "8009", "8010", "8011", "8012", "8013", "8014", "8015", "8016",
      "8017", "8018", "8019", "8020", "8021", "8022", "8023", "8024",
      "8025", "8026", "8027", "8028", "8029", "8030", "8031", "8034",
      "8035", "8037", "8038", "8039", "8040", "8041", "8042", "8043",
      "8044", "8045", "8046", "8047", "8048", "8049", "8050", "8051",
      "8052", "8053", "8055", "8056", "8057", "8058", "8059", "8060",
      "8061", "8062", "8063", "8064", "8065", "8066", "8067", "8068",
      "8069", "8070", "8071", "8072", "8073", "8074", "8075", "8076",
      "8077"
    ), class = "factor"), Closed_Date = structure(c(
      18668,
      18933, 18716, 18740, 18639, 18845, 18708, 18676, 18733, 18695,
      18715, 18709, 18794, 18803, 18750, 18787, 18906, 18810, 18855,
      18870, 18626, 18786, 18808, 18864, 18961, 18914
    ), class = "Date")), row.names = c(
      NA,
      -26L
    ), class = c("tbl_df", "tbl", "data.frame"))
    ```                                                          
                                                                      
    ```{r, eval=TRUE}
    selectInput("ar",
      label = "Select Area:",
      choices = unique(subs$Area), selected = unique(subs$Area)[1]
    )
    ```
    

    【讨论】:

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