我有一个这样的数据框
> df
a b c d
1 1 2 A 1001
2 2 4 B 1002
3 3 6 B 1002
4 4 8 C 1003
5 5 10 D 1004
6 6 12 D 1004
7 7 13 E 1005
8 8 14 E 1006
我想删除c列和d列中有重复值的行.所以在本例中，将删除第2、3、5和6行.
我用过这个，效果很好:
df[!(df$c %in% df$c[duplicated(df$c)] & df$d %in% df$d[duplicated(df$d)]),]
>df
a b c d
1 1 2 A 1001
4 4 8 C 1003
7 7 13 E 1005
8 8 14 E 1006
但它看起来很笨重，我忍不住觉得有更好的方法.
如果有人想重新创建数据帧，这里是dput:
df = structure(list(a = c(1, 2, 3, 4, 5, 6, 7, 8), b = c(2, 4, 6,
8, 10, 12, 13, 14), c = structure(c(1L, 2L, 2L, 3L, 4L, 4L, 5L,
5L), .Label = c("A", "B", "C", "D", "E"), class = "factor"),
d = c(1001, 1002, 1002, 1003, 1004, 1004, 1005, 1006)), .Names = c("a",
"b", "c", "d"), row.names = c(NA, -8L), class = "data.frame")