Question

给出

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有没有办法按x = data.frame(value = 1:3, col2 = c('min', 'min', 'max'), id = c(1, 2, 1))分组，然后平均col3和min然后将结果存储在max？

col1

Answer 1

如果您只有这三列，并且每组只有2个值（最小和最大），那么，

library(dplyr)

x %>% 
 group_by(col3) %>% 
 summarise(col1 = mean(col1), col2 = 'Average') %>% 
 bind_rows(x) %>% 
 arrange(col3)

给出，

# A tibble: 5 x 3
   col3  col1    col2
  <dbl> <dbl>   <chr>
1     1     2 Average
2     1     1     min
3     1     3     max
4     2     2 Average
5     2     2     min

Answer 2

我认为你正在寻找这个：

library(dplyr)
x = data.frame(value = 1:3, col2 = c('min', 'min', 'max'), id = c(1, 2, 1))
x %>% group_by(id) %>% summarize(avg=mean(value)

这会为您提供所需的值，但不会将它们附加到您的数据框中。

在这几个背景下，我不确定你应该这样做，但如果你真的想，你可以rbind。

向data.frame添加行，这些行是从现有行计算的

2 个答案: