是否可以在 Shiny 中绘制两个具有相同轴的单独直方图?

Is it possible to plot two individual histograms with the same axis in Shiny?

我在 Shiny 工作,我想绘制两个具有相同比例(x 和 y 轴)的独立直方图以便能够比较它们。

我发现这个很有趣 post How to plot two histograms on the same axis scale? 并且我认为它可以适用于我的情况。事实上,我尝试用一​​个简单的脚本(没有闪亮的)来完成它并且它是在职的。但是,当我尝试在 Shiny 中执行此操作时,我收到了很多错误并且遇到了很多问题。

另一方面,post 中的解决方案稍微改变了我想要可视化直方图的方式,如果可能的话,我希望单独查看直方图。

你知道有没有办法在 Shiny 中做这件事?

这里写了一个和我的类似的简单代码

library(shiny)
library(ggplot2)
library(scales)

ui <- fluidPage(
  
  titlePanel("Histogram"),
  
  sidebarLayout(
    sidebarPanel(
    ),
    
    mainPanel(
      plotOutput("hist_1"),
      plotOutput("hist_2")
    )
  )
)

val1 <- c(2.1490626,3.7928443,2.2035281,1.5927854,3.1399245,2.3967338,3.7915825,4.6691277,3.0727319,2.9230937,2.6239759,3.7664386,4.0160378,1.2500835,4.7648343,0.0000000,5.6740227,2.7510256,3.0709322,2.7998003,4.0809085,2.5178086,5.9713330,2.7779843,3.6724801,4.2648527,3.6841084,2.5597235,3.8477471,2.6587736,2.2742209,4.5862788,6.1989269,4.1167091,3.1769325,4.2404515,5.3627032,4.1576810,4.3387921,1.4024381,0.0000000,4.3999099,3.4381837,4.8269218,2.6308474,5.3481382,4.9549753,4.5389650,1.3002293,2.8648220,2.4015338,2.0962332,2.6774765,3.0581759,2.5786137,5.0539080,3.8545796,4.3429043,4.2233248,2.0434363,4.5980727)
df1 <- data.matrix(val1)          

val2 <- c(3.7691229,3.6478055,0.5435826,1.9665861,3.0802654,1.2248374,1.7311236,2.2492826,2.2365337,1.5726119,2.0147144,2.3550348,1.9527204,3.3689502,1.7847986,3.5901329,1.6833872,3.4240479,1.8372175,0.0000000,2.5701453,3.6551315,4.0327091,3.8781182)
df2 <- data.matrix(val2)

server <- function(input, output) {
  
  output$hist_1 <- renderPlot({

    pp <- qplot(df1, geom = "histogram", bins = 10, xlab="values", 
                ylab="Frequency", main="Histogram 1",
                fill=I("red"), col=I("black"), alpha=I(0.4))
    
    pp + scale_x_continuous(breaks=pretty(df1, n=10))
  })
  
  output$hist_2 <- renderPlot({

    pp <- qplot(df2, geom = "histogram", bins = 10, xlab="values", 
                ylab="Frequency", main="Histogram 2",
                fill=I("blue"), col=I("black"), alpha=I(0.4))
    
    pp + scale_x_continuous(breaks=pretty(df2, n=10))
  })
  
}

shinyApp(ui = ui, server = server)

非常感谢,

此致

您可以尝试使用 facets :

library(shiny)
library(ggplot2)
library(dplyr)

ui <- fluidPage(
  
  titlePanel("Histogram"),
  
  sidebarLayout(
    sidebarPanel(
    ),
    
    mainPanel(
      plotOutput("hist")
    )
  )
)


server <- function(input, output) {
  
  output$hist <- renderPlot({
    data <- bind_rows(lst(df1, df2), .id = 'id')
   ggplot(data) + aes(value, fill = id) + 
    geom_histogram(bins = 10, col= "black", alpha=0.4) + 
    facet_wrap(~id) + 
    scale_fill_manual(values = c('red', 'blue')) + 
    scale_x_continuous(breaks=pretty(data$value, n=10))
  })
  
  
}  
shinyApp(ui = ui, server = server)

数据

df1 <- data.frame(value = val1)   
df2 <- data.frame(value = val2)