用闪亮的应用程序中的滑块控制grid.arrange中的水平和垂直空间

Question

我需要创建一个闪亮的应用程序，在这个应用程序中，用户通过滑块决定要显示多少个图表和多少列。要合并我使用的函数grid.arrange (但它不是强制性的)的图形，重要的是要有ggplot对象。我需要coord_fixed()。这是一个小的可执行示例：

library(shiny)
library(shinythemes)
library(readr)
library(ggplot2)
library(dplyr)
library(tidyr)
library(grid)
library(gridExtra)
library(ggforce) 
library(shinythemes)

ui <- fluidPage(
 
    navbarPage("MotorBrain", 
               
      tabPanel("Configurazione",
               sidebarLayout(
                   sidebarPanel( 
                      sliderInput("input1", "N. utenti",
                                    min = 1, max = 133,
                                    value = 3),
                       sliderInput("nCol1", "Ncols",
                                    min = 1, max = 32,
                                    value = 1),
                       actionButton("goButton1", "Visualizza")),
                       fluidRow()))),
      tabPanel("Visualizzazione", 
            fluidRow(
                   uiOutput("outputTest1"))
               
 ))




server <- function(input, output,session) {
    
 input1<-eventReactive(input$goButton1,{
        input$input1
    })
output$outputTest1 <- renderUI({ 
pl <- vector("list", length =  input1())
                        
for(t in 1: input1()) {

      p<-ggplot() +
         geom_point(x=runif(10000,0, 1),y=runif(500,0, 1))+
         coord_fixed()
                             
 pl[[t]] <-p
                         
 }
                        
output$plot_test1<- renderPlot({
                    
 grid.arrange(grobs=pl,ncol=input$nCol1,top="")
                                
  })
                        
plotOutput(outputId = "plot_test1")
                        
 })                 

}

shinyApp(ui = ui, server = server)

我需要再添加两个滑块，用户可以用它来决定在网格中的不同图形之间放置多少水平和垂直的空白。我该怎么做？

Answer 1

gridExtra在列之间增加了不可控制的空间，因此一种解决方案是使用patchwork，在这里没有添加额外的空间。然后我们可以使用margin技巧来添加空间：

library(shiny)
library(shinythemes)
library(readr)
library(ggplot2)
library(dplyr)
library(tidyr)
library(grid)
library(ggforce) 
library(patchwork)

ui <- fluidPage(
    
    navbarPage("MotorBrain", 
               
               tabPanel("Configurazione",
                        sidebarLayout(
                            sidebarPanel( 
                                sliderInput("input1", "N. utenti",
                                            min = 1, max = 133,
                                            value = 3),
                                sliderInput("nCol1", "Ncols",
                                            min = 1, max = 32,
                                            value = 1),
                                sliderInput("h_space", "top bottom space (pt)",
                                            min = 1, max = 100,
                                            value = 1),
                                sliderInput("v_space", " left right space (pt)",
                                            min = 1, max = 100,
                                            value = 1),
                                actionButton("goButton1", "Visualizza")),
                            fluidRow()))),
    tabPanel("Visualizzazione", 
             fluidRow(
                 uiOutput("outputTest1"))
             
    ))




server <- function(input, output,session) {
    
    input1<-eventReactive(input$goButton1,{
        input$input1
    })
    output$outputTest1 <- renderUI({ 
        pl <- vector("list", length =  input1())
        for(t in 1: input1()) {
            p<-ggplot() +
                geom_point(x=runif(10000,0, 1),y=runif(500,0, 1))+
                coord_fixed() +
                # the space is added to both sides, so we need to reduce by half
                theme(plot.margin = unit(c(
                    input$h_space/2,
                    input$v_space/2,
                    input$h_space/2,
                    input$v_space/2
                ), "pt"))
            
            pl[[t]] <-p
            
        }
        
        output$plot_test1<- renderPlot({
            Reduce(`+`, pl) +
                plot_layout(ncol = input$nCol1)
        })
        
        plotOutput(outputId = "plot_test1")
        
    })                 
    
}

shinyApp(ui = ui, server = server)