这是一种方法,我们用add_count 计算“组”、“颜色”的频率、用“颜色”计算unite,然后按“组”分组,通过连接来创建“摘要”列unique 'nColor' 的元素与频率 (n())
library(dplyr)
library(tidyr)
library(stringr)
df %>%
add_count(Group, Color) %>%
unite(nColor, n, Color, sep= ' ', remove = FALSE) %>%
group_by(Group) %>%
mutate(
Summary = str_c(n(), ' houses, ', toString(unique(nColor)))) %>%
select(-nColor)
# Groups: Group [2]
# ID Group Color n Summary
# <int> <chr> <chr> <int> <chr>
#1 1 a Green 2 3 houses, 2 Green, 1 Orange
#2 2 a Green 2 3 houses, 2 Green, 1 Orange
#3 3 a Orange 1 3 houses, 2 Green, 1 Orange
#4 4 b Blue 2 3 houses, 2 Blue, 1 Yellow
#5 5 b Yellow 1 3 houses, 2 Blue, 1 Yellow
#6 6 b Blue 2 3 houses, 2 Blue, 1 Yellow
数据
df <- structure(list(ID = 1:6, Group = c("a", "a", "a", "b", "b", "b"
), Color = c("Green", "Green", "Orange", "Blue", "Yellow", "Blue"
)), class = "data.frame", row.names = c(NA, -6L))