boxplot：按每个组的子集的平均值排序组 [英] boxplot: order groups by the mean of a subset of each group

问题描述

我们考虑这些数据：
$ b $ pre $ df = data.frame（'score'= round（runif（15，1， 10）），
'group'= paste0（a，rep（c（1,2,3），each = 5）），
'category'= rep（c（big ，大，大，大，小），3））


我想用 ggplot2 来绘制这些数据的箱型图。我想要的是：boxplot（分数〜组），但是根据每个组的大个体的平均值排列盒形图。

我无法以简单的方式找出它，而无需创建新变量。好的使用Dplyr。感谢。

解决方案

我不知道这是否符合简单的方法，我个人觉得很简单， code> dplyr 查找方法：

 ＃查找每个组的
 library（dplyr）
意味着<  -  
 df％>％
＃因为您只需要类别为'big'的$ f 
过滤器（category = ='big'）％>％
＃使用与ggplot中相同的组
 group_by（group）％>％
 #calculate the means 
 summarize（mean =平均（分数））
 
＃根据平均值的顺序对组进行排序
 myorder<  - 表示$ group [order（means $ mean）] 
  

在这种情况下，订单为：

 > myorder 
 [1] a1 a2 a3 
  

为了排列箱形图的顺序，到上面你只需要做：

  library（ggplot2）
 ggplot（df，aes（group，score ））+ 
 geom_boxplot（）+ 
＃您只需要使用scale_x_discrete和limits参数
＃来传递箱线图的出现顺序的详细信息
 #in this如果订单是myorders vector 
 scale_x_discrete（limits = myorder）
  

就是这样。

Let's consider this data:

df = data.frame('score'=round(runif(15, 1, 10)),
                'group'=paste0("a",rep(c(1,2,3),each=5)),
                'category'=rep(c("big", "big", "big", "big", "small"), 3))

I would like to plot boxplots of this data with ggplot2. What i want is: boxplot(score~group), but with the boxplots arranged according to the mean of the "big" individuals of each group.

I can't figure it out in a simple way, without creating new variables. OK to use Dplyr. Thanks.

解决方案

I don't know if this qualifies as a simple way, I personally find it simple, but I use dplyr to find the means:

#find the means for each group
library(dplyr)
means <-
df %>%
  #filter out small since you only need category equal to 'big'
  filter(category=='big') %>%
  #use the same groups as in the ggplot
  group_by(group) %>%
  #calculate the means
  summarise(mean = mean(score))

#order the groups according to the order of the means
myorder <- means$group[order(means$mean)]

In this case the order is:

> myorder
[1] a1 a2 a3

In order to arrange the order of the boxplots according to the above you just need to do:

library(ggplot2)
ggplot(df, aes(group, score)) +
  geom_boxplot() +
  #you just need to use scale_x_discrete with the limits argument
  #to pass in details of the order of appearance for the boxplots
  #in this case the order is the myorders vector
  scale_x_discrete(limits=myorder)

And that's it.

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