R - 添加在组内按顺序计数但重复的列

我正在寻找一种解决方案来添加列“desired_result”，最好使用 dplyr 和/或 ave()。请参阅此处的数据框，其中组是“部分”，我希望我的“desired_results”列按顺序计数的唯一实例在“展示”中:

structure(list(section = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), exhibit = structure(c(1L,
2L, 3L, 3L, 1L, 2L, 2L, 3L), .Label = c("a", "b", "c"), class = "factor"),
desired_result = c(1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L)), .Names = c("section",
"exhibit", "desired_result"), class = "data.frame", row.names = c(NA,
-8L))

最佳答案

dense_rank 是

library(dplyr)
df %>%
  group_by(section) %>%
  mutate(desire=dense_rank(exhibit))
#  section exhibit desired_result desire
#1       1       a              1      1
#2       1       b              2      2
#3       1       c              3      3
#4       1       c              3      3
#5       2       a              1      1
#6       2       b              2      2
#7       2       b              2      2
#8       2       c              3      3

关于R - 添加在组内按顺序计数但重复的列，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/27895860/