基于Shiny中的用户输入的条件过滤

时间:2018-06-19 10:25:25

标签: r if-statement shiny leaflet

这里有Shiny的新用户。我正在尝试创建一个交互式地图,根据2组用户输入添加圆圈标记:每组有3个可能的输入。我似乎无法弄清楚如何编写代码来正确过滤数据,然后将过滤后的数据添加为圆形标记。过滤逻辑应该是这样的:

1)如果宗教/宗派/世界="全部",请跳过该特定过滤器。 (例如,如果宗教1 ="全部",不按宗教1过滤,但如果不是"全部")仍然按其余字段过滤。

2)如果面额1/2是"无",只返回宗教信息,并排除面额信息。 (例如,如果宗教1 ="基督徒",面额="无",地理="英国",只应映射英国的基督徒总计)。

3)对于所有其他特定输入,请应用&运营商。 (例如,如果宗教1 ="基督徒",命名="天主教",地理="英国",它应该只显示英国的天主教徒。)

我想我可以为每个可能的排列编写多个if / else语句,但是会有很多条件,我将不得不重复两次,以便它适用于组1和组2。

年份滑块输入过滤器应该是被动的,而其余的selectInputs只能在用户点击按钮后才能工作。

这是我的用户界面代码:

ui <- fluidPage (
  titlePanel("Religious Affiliations from 1900", windowTitle = "Browser"),
  sidebarLayout(
    sidebarPanel(width = 3,
    conditionalPanel(
      condition = "input.conditionedPanels == 1",
      sliderTextInput("years_map", "Select Year:", 
                      choices = years, selected = 2000,
                      animate = TRUE, grid = TRUE),
      selectInput("religion_1_map", "Religion 1",
                  choices = c("All", religion_names), 
                  selectize = TRUE),  
      selectInput("denom_1_map", "Denomination 1",
                  choices = c("All", "None", denomination_names), 
                  selectize = TRUE),
      selectInput("geography_1_map", "Geography 1", 
                  choices = c("World", all_geography, names(all_regions)), selectize = TRUE),
      selectInput("religion_2_map", "Religion 2",
                  choices = c("All", religion_names),
                  selectize = TRUE),
      selectInput("denom_2_map", "Denomination 2",
                  choices = c("All", "None", denomination_names),
                  selectize = TRUE),
      selectInput("geography_2_map", "Geography 2",
                  choices = c("World", all_geography), selectize = TRUE),
      actionButton("map_button", "Map my choices!")
    ),
  mainPanel(width = 9,
    tabsetPanel(
      tabPanel("Maps", 
      leafletOutput("mymap"),
               value = 1),

      tabPanel("Stacked Area Chart", 
               "test2",
               value = 2),
      tabPanel("Pie Chart", value = 3),
      tabPanel("Line Chart", value = 4),
      tabPanel("Statistics", value = 5),
      tabPanel("Data", value = 6),
      id = "conditionedPanels"
      )


server <- function(input, output) {


  output$mymap <- renderLeaflet({
    leaflet() %>% addTiles()
    #Make the map dependent on the button
    input$map_button
  })

  year <- reactive({
    all_cleaned %>% filter(year == input$years_map)
  })

  religion_1 <- reactiveValues({
    if(input$religion_1_map == "All") {
      year()
    }
    else if(input$religion_1_map == "None") {
      return()
    }
    else {
      year() %>% filter(religion == input$religion_1_map)
    }
  })

  denom_1 <- reactive({
    if(input$denom_1_map == "All") {
      religion_1()
    }
    else if(input$denom_1_map == "None") {
      religion_1[!duplicated(religion_1[,'religion']), ]
    }
    else {
      religion_1() %>% filter(denom == input$denom_1_map)
    }
  })

  geography_1 <- reactive({
    if(input$geography_1_map == "All") {
      denom_1()
    }
    else if(input$geography_1_map == "None") {
      return()
    }
    else {
      denom_1() %>% filter(country_name %in% input$geography_1_map)
    }
  })

  religion_2 <- reactiveValues({
    if(input$religion_2_map == "All") {
      year()
    }
    else if(input$religion_2_map == "None") {
      return()
    }
    else {
      year() %>% filter(religion == input$religion_2_map)
    }
  })

  denom_2 <- reactive({
    if(input$denom_2_map == "All") {
      religion_2()
    }
    else if(input$denom_2_map == "None") {
      religion_2[!duplicated(religion_2[,'religion']), ]
    }
    else {
      religion_2() %>% filter(denom == input$denom_2_map)
    }
  })

  geography_2 <- reactive({
    if(input$geography_2_map == "All") {
      denom_2()
    }
    else if(input$geography_2_map == "None") {
      return()
    }
    else {
      denom_2() %>% filter(country_name %in% input$geography_2_map)
    }
  })

  proxy <- observeEvent(input$map_button, {
    leafletProxy("mymap") %>% 
      addCircleMarkers(data = geography_1()) %>%
      addCircleMarkers(data = geography_2())
  })

}

更新:为了解决来自无功过滤器的子集化问题,我只是清理了我的数据而不是解决方法。它现在有效。

1 个答案:

答案 0 :(得分:0)

我想如果没有server.R文件,很难给您一个正确的答案。我认为这很简单reactive和/或eventReactive编程。最简单的方法是按照希望在UI中显示数据的方式标记数据(条目和列)。这样可以进行反应式编程。请上传您当前的server.R文件或可复制的示例。

编辑: 通过reactive闪亮的方式调用过滤后的数据集:year-> year()将第二个反应式更改为:

religion_1 <- reactive({
if(input$religion_1_map == "All") {
  year
}
else if(input$religion_1_map == "None") {
  return()
}
else {
  year %>% filter(religion == input$religion_1_map)
}
})

对此:

religion_1 <- reactive({
if(input$religion_1_map == "All") {
  year()
}
else if(input$religion_1_map == "None") {
  return()
}
else {
  year() %>% filter(religion == input$religion_1_map)
}
})

以及其他人。

更新     服务器<-功能(输入,输出){

output$mymap <- renderLeaflet({
leaflet() %>% addTiles()
#Make the map dependent on the button
input$map_button
})

year <- reactive({
all_cleaned %>% filter(year == input$years_map)
})

religion_1 <- reactiveValues({
if(input$religion_1_map == "All") {
  year()
}
else if(input$religion_1_map == "None") {
  return()
}
else {
  year() %>% filter(religion == input$religion_1_map)
}
})

denom_1 <- reactive({
if(input$denom_1_map == "All") {
  religion_1()
}
else if(input$denom_1_map == "None") {
  unique(religion_1())
}
else {
  religion_1() %>% filter(denom == input$denom_1_map)
}
})

geography_1 <- reactive({
if(input$geography_1_map == "All") {
  denom_1()
}
else if(input$geography_1_map == "None") {
  return()
}
else {
  denom_1() %>% filter(country_name %in% input$geography_1_map)
}
})

religion_2 <- reactive({
if(input$religion_2_map == "All") {
  year()
}
else if(input$religion_2_map == "None") {
  return()
}
else {
  year() %>% filter(religion == input$religion_2_map)
}
})

denom_2 <- reactive({
if(input$denom_2_map == "All") {
  religion_2()
}
else if(input$denom_2_map == "None") {
  unique(religion_2())
}
else {
  religion_2() %>% filter(denom == input$denom_2_map)
}
})

geography_2 <- reactive({
if(input$geography_2_map == "All") {
  denom_2()
}
else if(input$geography_2_map == "None") {
  return()
}
else {
  denom_2() %>% filter(country_name %in% input$geography_2_map)
}
})

proxy <- observeEvent(input$map_button, {
leafletProxy("mymap") %>% 
  addCircleMarkers(data = geography_1()) %>%
  addCircleMarkers(data = geography_2())
})

}