R 根据设置条件组

我有一组看起来像这样的数据：

+----------+------------+-------+-------+
|  step1   |   step2    | step3 | step4 |
+----------+------------+-------+-------+
| Region 1 | District A | 1A    |   571 |
| Region 1 | District A | 1A    |   356 |
| Region 1 | District A | 1B    |   765 |
| Region 1 | District B | 1B    |   752 |
| Region 2 | District C | 2C    |   885 |
| Region 2 | District C | 2D    |    73 |
| Region 2 | District D | 2D    |   241 |
| Region 2 | District D | 2D    |   823 |
| Region 3 | District E | 3E    |   196 |
| Region 3 | District E | 3E    |   103 |
| Region 3 | District F | 3E    |   443 |
| Region 3 | District F | 3F    |   197 |
+----------+------------+-------+-------+

我已经设置了以下脚本，它以编写的方式使用selectizeGroupServer在步骤1、步骤2和步骤3之间自动设置过滤，以便它们链接在一起，即如果过滤区域1，它将只返回步骤2和步骤3中的相关选项

下面的脚本返回我正在寻找的结果，如果您希望它以一种直接的方式逐个分组。所以在初始运行时，它将显示所有11个结果的图形输出。如果我按区域1过滤，它将返回步骤4中链接到区域1的所有四个图形的图形

但是我想设置它，当我选择一个选项时，它实际上会按照它下面的层次选项分组。因此，如果我按区域1进行过滤，它将返回两列：地区A 1692的汇总和地区B 752的汇总。如果我同时选择了Region 1和District A，它将返回两列：聚合1A 927和绑定到District A 765的聚合1B

我如何设置它以实现这一点

library(highcharter)
library(shiny)
library(shinyWidgets)
library(dplyr)

step1 <- c('Region 1', 'Region 1', 'Region 1', 'Region 1', 'Region 2', 'Region 2', 'Region 2', 'Region 2', 'Region 3', 'Region 3', 'Region 3', 'Region 3')
step2 <- c('District A', 'District A', 'District A', 'District B', 'District C', 'District C', 'District D', 'District D', 'District E', 'District E', 'District F', 'District F')
step3 <- c('1A', '1A', '1B', '1B', '2C', '2D', '2D', '2D', '3E', '3E', '3E', '3F')
step4 <- c(571,356,765,752,885,73,241,823,196,103,443,197)

ui <- fluidPage(
  fluidRow(
    column(
      width = 5, offset = 1,
      panel(
        selectizeGroupUI(
          id = "foo",
          params = list(
            Step1 = list(inputId = "step1", title = "Step1:"),
            Step2 = list(inputId = "step2", title = "Step2:"),
            Step3 = list(inputId = "step3", title = "Step3:")
          ))
      ),
      highchartOutput(outputId = "table")
    )
  )
)

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

  abc <- callModule(
    module = selectizeGroupServer,
    id = "foo",
    data = df,
    vars = c("step1", "step2", "step3")
  )

  output$table <- renderHighchart({

    bar <- abc()

    xyz <- bar %>% filter(is.null(input$step1) | step1 %in% input$step1,
                        is.null(input$step2) | step2 %in% input$step2,
                        is.null(input$step3) | step3 %in% input$step3) %>% group_by_all() %>% summarise(results = sum(step4))


    highchart() %>% hc_add_series(data = xyz, type = "column", hcaes(y = results),
                                  showInLegend = TRUE) %>% hc_add_theme(hc_theme_flat())


  })


}

---

谢谢

首先，我们需要找出分组依据的列。在本例中，我假设它是第一列，包含多个选项。代码的其余部分非常相似，除了groupbyu都被groupbyu替换

---

如果为单个选项选择多个值，这将不起作用，但该解决方案应该非常类似

似乎您正在寻找聚合。请检查以下内容：

library(highcharter)
library(shiny)
library(shinyWidgets)
# library(dplyr)

DF <- data.frame(
  step1 = c('Region 1', 'Region 1', 'Region 1', 'Region 1', 'Region 2', 'Region 2', 'Region 2', 'Region 2', 'Region 3', 'Region 3', 'Region 3', 'Region 3'),
  step2 = c('District A', 'District A', 'District A', 'District B', 'District C', 'District C', 'District D', 'District D', 'District E', 'District E', 'District F', 'District F'),
  step3 = c('1A', '1A', '1B', '1B', '2C', '2D', '2D', '2D', '3E', '3E', '3E', '3F'),
  step4 = c(571,356,765,752,885,73,241,823,196,103,443,197),
  stringsAsFactors = FALSE)

ui <- fluidPage(
  fluidRow(
    column(
      width = 5, offset = 1,
      panel(
        selectizeGroupUI(
          id = "foo",
          params = list(
            Step1 = list(inputId = "step1", title = "Step1:"),
            Step2 = list(inputId = "step2", title = "Step2:"),
            Step3 = list(inputId = "step3", title = "Step3:")
          ))
      ),
      highchartOutput(outputId = "table")
    )
  )
)

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

  abc <- callModule(
    module = selectizeGroupServer,
    id = "foo",
    data = DF,
    vars = c("step1", "step2", "step3")
  )

  output$table <- renderHighchart({
    req(abc())
    bar <- aggregate(step4 ~ step1+step2, abc(), sum)
    highchart() %>% hc_add_series(data = bar, type = "column", hcaes(y = step4), showInLegend = TRUE) %>% hc_add_theme(hc_theme_flat())
  })

}

shinyApp(ui, server)

---

@akrun刚刚编辑了脚本，以使其易于放入数据帧，或者以您认为最适合的方式进行设置啊，是的，当然。谢谢你接电话。编辑了我的第一篇文章。因为你已经格式化了它，不再需要了。我想了解的一件事是，这里的输入是如何变化的。在您的情况下，您正在使用|进行筛选。如果您需要层次结构组，则使用librarydata.table更简单；dt1还有一个选项是在

library(highcharter)
library(shiny)
library(shinyWidgets)
# library(dplyr)

DF <- data.frame(
  step1 = c('Region 1', 'Region 1', 'Region 1', 'Region 1', 'Region 2', 'Region 2', 'Region 2', 'Region 2', 'Region 3', 'Region 3', 'Region 3', 'Region 3'),
  step2 = c('District A', 'District A', 'District A', 'District B', 'District C', 'District C', 'District D', 'District D', 'District E', 'District E', 'District F', 'District F'),
  step3 = c('1A', '1A', '1B', '1B', '2C', '2D', '2D', '2D', '3E', '3E', '3E', '3F'),
  step4 = c(571,356,765,752,885,73,241,823,196,103,443,197),
  stringsAsFactors = FALSE)

ui <- fluidPage(
  fluidRow(
    column(
      width = 5, offset = 1,
      panel(
        selectizeGroupUI(
          id = "foo",
          params = list(
            Step1 = list(inputId = "step1", title = "Step1:"),
            Step2 = list(inputId = "step2", title = "Step2:"),
            Step3 = list(inputId = "step3", title = "Step3:")
          ))
      ),
      highchartOutput(outputId = "table")
    )
  )
)

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

  abc <- callModule(
    module = selectizeGroupServer,
    id = "foo",
    data = DF,
    vars = c("step1", "step2", "step3")
  )

  output$table <- renderHighchart({
    req(abc())
    bar <- aggregate(step4 ~ step1+step2, abc(), sum)
    highchart() %>% hc_add_series(data = bar, type = "column", hcaes(y = step4), showInLegend = TRUE) %>% hc_add_theme(hc_theme_flat())
  })

}

shinyApp(ui, server)