如何基于列组的平均值重新排序数据框

Question

我试图根据与列ID关联的中位数对数据框进行重新排序。

我有一个ID列和2列值的数据框。

ID <- c("a","a","a","b","b","b","c","c","c","c")
alpha <- c(3,4,5,9,11,13,1,1,1,0)
beta <- c(2,3,4,3,4,5,4,5,6,7)
df <- data.frame(ID,alpha,beta)

   ID alpha beta
1   a     3    2
2   a     4    3
3   a     5    4
4   b     9    3
5   b    11    4
6   b    13    5
7   c     1    4
8   c     1    5
9   c     1    6
10  c     0    7

我想对该数据帧重新排序，以使列ID的顺序基于alpha列中关联值的递减方式：

   ID alpha beta
1   b     9    3
2   b    11    4
3   b    13    5
4   a     3    2
5   a     4    3
6   a     5    4
7   c     1    4
8   c     1    5
9   c     1    6
10  c     0    7

这是不成功的：

df[reorder(df$ID, df$alpha, FUN = mean),]

Answer 1

尝试

library(dplyr)
df %>% group_by(ID) %>% mutate(m = mean(alpha)) %>% arrange(desc(m)) %>% select(-m)
# A tibble: 10 x 3
# Groups:   ID [3]
       ID alpha  beta
   <fctr> <dbl> <dbl>
 1      b     9     3
 2      b    11     4
 3      b    13     5
 4      a     3     2
 5      a     4     3
 6      a     5     4
 7      c     1     4
 8      c     1     5
 9      c     1     6
10      c     0     7

Answer 2

这是使用data.table的选项

library(data.table)
setDT(df)[df[, mean(alpha), ID][order(-V1), .(ID)], on = .(ID)]
#    ID alpha beta
#1:  b     9    3
#2:  b    11    4
#3:  b    13    5
#4:  a     3    2
#5:  a     4    3
#6:  a     5    4
#7:  c     1    4
#8:  c     1    5
#9:  c     1    6
#10: c     0    7

---

或者我们可以使用base R ave来获取mean ，然后order

df[with(df, order(-ave(alpha, ID))),]