在Shiny中具有不同数据集的反应条形图

debugcn 发表于 Dev

马里奥·安东尼奥·卡斯蒂利亚·马丘卡

我有两个数据框，“ uno”和“ dos”，我想考虑变量“ tipo”和“ fecha”来制作反应条形图，即我要显示带有数据框“ uno”和组的条形图按“ tipo”或“ fecha”，然后对数据框“ dos”执行相同操作。我只能显示按一个变量分组的条形图，但是我不知道如何使用多个变量进行分组。我是个新手，所以很难完全理解代码的逻辑。希望您能帮助我，谢谢！

library(shiny)
library(tidyverse)
library(ggplot2)


uno <- data.frame(id = rnorm(10, 0, 1), 
                  tipo = c("a", "a", "a", "b", "b", "b", "b", "c", "c", "a"),
                  fecha = c(12, 12, 12, 13, 13, 14, 15, 16, 16, 16))
dos <- data.frame(id = rnorm(10, 0, 1), 
                  tipo = c("c", "a", "c", "c", "b", "b", "b", "c", "c", "a"),
                  fecha = c(11, 11, 12, 13, 13, 15, 15, 15, 16, 16))
datafiles <- list(uno, dos)

ui <- fluidPage(
  selectInput('dataset', 'Choose Dataset', choices = c("uno" = "1", "dos" = "2")),
  plotOutput('graph')
)

server = function(input, output, session){
  
  outVar <- reactive({
    temp <- datafiles[[as.numeric(input$dataset)]]
  })
  
  output$graph <- renderPlot({
    ggplot(outVar(), aes(fecha)) + geom_bar()
  })
}


shinyApp(ui=ui, server=server)

斯蒂芬

也许这就是您想要的。您可以添加第二个selectInput来选择变量并将其映射x到您的调用中ggplot。由于输入是一个字符，因此您必须使用例如.data代词：

library(shiny)
library(tidyverse)
library(ggplot2)


uno <- data.frame(id = rnorm(10, 0, 1), 
                  tipo = c("a", "a", "a", "b", "b", "b", "b", "c", "c", "a"),
                  fecha = c(12, 12, 12, 13, 13, 14, 15, 16, 16, 16))
dos <- data.frame(id = rnorm(10, 0, 1), 
                  tipo = c("c", "a", "c", "c", "b", "b", "b", "c", "c", "a"),
                  fecha = c(11, 11, 12, 13, 13, 15, 15, 15, 16, 16))
datafiles <- list(uno, dos)

ui <- fluidPage(
  selectInput('dataset', 'Choose Dataset', choices = c("uno" = "1", "dos" = "2")),
  selectInput('var', 'Choose Variable', choices = c("tipo", "fecha"), selected = "fecha"),
  plotOutput('graph')
)

server = function(input, output, session){
  
  outVar <- reactive({
    temp <- datafiles[[as.numeric(input$dataset)]]
  })
  
  output$graph <- renderPlot({
    ggplot(outVar(), aes(.data[[input$var]])) + geom_bar()
  })
}


shinyApp(ui=ui, server=server)

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