使用ggplot2根据填充值重新排序堆积的条形图x

D L*_*hly 5 r bar-chart ggplot2

进行了一项包含5个问题的调查.这些问题共享同一组可能的答案.以下是使用ggplot2重新绘制的数据.

library(tidyr)
library(magrittr)

data <- data.frame(ID = c(1:500),
                   q1  = factor(sample(c(1:4), 500, replace = T),
                                labels = c("A", "B", "C", "D")),
                   q2  = factor(sample(c(1:4), 500, replace = T),
                                labels = c("A", "B", "C", "D")),
                   q3  = factor(sample(c(1:4), 500, replace = T),
                                labels = c("A", "B", "C", "D")),
                   q4  = factor(sample(c(1:4), 500, replace = T),
                                labels = c("A", "B", "C", "D")),
                   q5  = factor(sample(c(1:4), 500, replace = T),
                                labels = c("A", "B", "C", "D"))) %>%
gather(question, value, q1:q5)
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我想根据给定响应的数量对问题的排序进行排序.而不是这个......

library(ggplot2)

ggplot(data, aes(x = question , fill = value)) +
  geom_bar() + 

  theme(panel.background = element_rect(fill = "white")) +
  scale_fill_manual("Value", values = c("#2171B5", "#6BAED6", "#BDD7E7", 
                                   "#EFF3FF"))
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在此输入图像描述

...我希望沿x轴的问题顺序基于例如答案= D的计数.

D L*_*hly 6

得到它了.在下面的示例中按响应数= A排序.

  data$question <- reorder(dataf$question, data$value, function(x) max(table(x)[1]))  

   ggplot(heatDf, aes(x = question, fill = value)) +
      geom_bar() + 
      theme(panel.background = element_rect(fill = "white")) +
      scale_fill_manual("", values = c("#2171B5", "#6BAED6", "#BDD7E7", 
                                       "#EFF3FF", "grey30"))
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在此输入图像描述