Question

我希望能够做的是在html 中过滤后，根据（DT-）表的输出更新绘图。

例如 - 以下是html中为maz过滤的表格的屏幕截图：

我希望更新的散点图只显示已过滤表格中显示的值。

这可能吗？我知道我可以使用shiny web app来实现这样的功能，但是可以在html中嵌入一些闪亮的代码来实现这一目标吗？（我使用shiny / html的经验非常有限，所以对任何指针/想法都会感激不尽。）

我正在使用R-markdown（和here is a link to the html produced）：

---
title: "Filter interative plots from table results"
date: "`r format(Sys.time(), '%B %e, %Y')`"
output:
  html_notebook:
    theme: flatly
    toc: yes
    toc_float: yes
    number_sections: true
    df_print: paged
  html_document: 
    theme: flatly
    toc: yes
    toc_float: yes
    number_sections: true
    df_print: paged
---

```{r setup, include=FALSE, cache=TRUE}
library(DT)
library(plotly)
library(stringr)
data(mtcars)
```


# Clean data
## Car names and models are now a string: "brand_model" in column 'car'

```{r include=FALSE}
mtcars$car <- rownames(mtcars)
mtcars$car <- stringr::str_replace(mtcars$car, ' ', '_')
rownames(mtcars) <- NULL
```

# Interactive table using DT

```{r rows.print=10}
DT::datatable(mtcars,
              filter = list(position = "top"),
              selection="none",                 #turn off row selection
              options = list(columnDefs = list(list(visible=FALSE, targets=2)),
                             searchHighlight=TRUE,
                             pagingType= "simple",
                             pageLength = 10,                  #default length of the above options
                             server = TRUE,                     #enable server side processing for better performance
                             processing = FALSE)) %>% 
              formatStyle(columns = 'qsec',
                background = styleColorBar(range(mtcars$qsec), 'lightblue'),
                backgroundSize = '98% 88%',
                backgroundRepeat = 'no-repeat',
                backgroundPosition = 'center')
```

# Plot disp against mpg using plotly

```{r fig.width=8, fig.height=8}
p <- plot_ly(data = mtcars,
             x = ~disp,
             y = ~mpg,
             type = 'scatter',
             mode = 'markers',
             text = ~paste("Car: ", car, "\n",
                           "Mpg: ", mpg, "\n"),
             color = ~mpg,
             colors = "Spectral",
             size = ~-disp
)
p
```

Answer 1

与我的第一次评估相反，它实际上是可能的。您的代码有多个新增功能。我会按时间顺序浏览它们：

您需要在yaml-header中添加runtime: shiny以在任何R-markdown文件中启动闪亮
可选：我添加了一些css样式，以防您需要调整闪亮的应用程序以适应特定的屏幕尺寸
Shiny-documents包含UI部分，您可以在其中配置用户界面。通常您只需使用fluidPage函数
下一部分是server.r - 有趣的事情发生的部分：
- 我们将您的DT::datatable分配给output - 对象（通常是列表）
- 对于每项作业，我们需要设置shinyID我们在ui.r中配置然后添加，即output$mytable
- 我添加了element，其中显示了选择哪些行进行调试
- 所有变化的核心是input$mytable_rows_all。我们在ui.r中设置的所有控件都可以在render - 函数内调用。在此特定情况下，mytable指的是我为UI部分中的shinyID设置的DT::datatable，而rows_all告诉闪亮，以显示所显示的表格中的所有rownumbers。
- 这样我们只需使用mtcars[input$mytable_rows_all,]

要学习闪亮，我建议Rstudio's tutorial。在学习并再次忘记所有内容后，我建议您使用wonderful cheatsheet provided by Rstudio

整个修改后的代码如下所示：

---
title: "Filter interative plots from table results"
date: "`r format(Sys.time(), '%B %e, %Y')`"
runtime: shiny
output:
  html_document: 
    theme: flatly
    toc: yes
    toc_float: yes
    number_sections: true
    df_print: paged
  html_notebook:
    theme: flatly
    toc: yes
    toc_float: yes
    number_sections: true
    df_print: paged
---

<style>
 body .main-container {
    max-width: 1600px !important;
    margin-left: auto;
    margin-right: auto;
  }
</style>

```{r setup, include=FALSE, cache=TRUE}
library(stringr)
data(mtcars)
```


# Clean data
## Car names and models are now a string: "brand_model" in column 'car'

```{r include=FALSE}
mtcars$car <- rownames(mtcars)
mtcars$car <- stringr::str_replace(mtcars$car, ' ', '_')
rownames(mtcars) <- NULL
```



# Plot disp against mpg using plotly

```{r}
library(plotly)
library(DT)

## ui.r
motor_attributes=c('Cylinder(  shape): V4','Cylinder(  shape): V6','Cylinder(  shape): V8','Cylinder(  shape): 4,Straight Line','Cylinder(  shape): 6,Straight Line','Cylinder(  shape): 8,Straight Line','Transmission: manual','Transmission: automatic')

fluidPage(# selectizeInput('cyl','Motor characteristics:',motor_attributes,multiple=TRUE,width='600px'),
          downloadLink('downloadData', 'Download'),
          DT::dataTableOutput('mytable'),
          plotlyOutput("myscatter"),
          htmlOutput('Selected_ids'))


### server.r
output$mytable<-DT::renderDataTable({
  DT::datatable(mtcars,
              filter = list(position = "top"),
              selection='none', #list(target='row',selected=1:nrow(mtcars)),                 #turn off row selection
              options = list(columnDefs = list(list(visible=FALSE, targets=2)),
                             searchHighlight=TRUE,
                             pagingType= "simple",
                             pageLength = 10,                  #default length of the above options
                             server = TRUE,                     #enable server side processing for better performance
                          processing = FALSE))   %>% 
              formatStyle(columns = 'qsec',
                background = styleColorBar(range(mtcars$qsec), 'lightblue'),
                backgroundSize = '98% 88%',
                backgroundRepeat = 'no-repeat',
                backgroundPosition = 'center')
})


output$Selected_ids<-renderText({
  if(length(input$mytable_rows_all)<1){
      return()
  }

  selected_rows<-as.numeric(input$mytable_rows_all)  
  paste('<b> #Cars Selected: </b>',length(selected_rows),'</br> <b> Cars Selected: </b>',
        paste(paste('<li>',rownames(mtcars)[selected_rows],'</li>'),collapse = ' '))

})

output$myscatter<-renderPlotly({
  selected_rows<-as.numeric(input$mytable_rows_all)  
  subdata<-mtcars[selected_rows,]
  p <- plot_ly(data = subdata,
             x = ~disp,
             y = ~mpg,
             type = 'scatter',
             mode = 'markers',
             text = ~paste("Car: ", car, "\n",
                           "Mpg: ", mpg, "\n"),
             color = ~mpg,
             colors = "Spectral",
             size = ~-disp
)
p
})
```

从html

1 个答案: