Вот решение, использующее dplyr
-
df %>%
group_by(id) %>%
filter(status == "f" | lead(status) == "f") %>%
ungroup()
# A tibble: 6 x 3
id status time
<int> <fct> <int>
1 1 n 2
2 1 f 3
3 2 f 1
4 3 n 2
5 3 f 3
6 3 f 4
Данные -
df <- structure(list(id = c(1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 3L),
status = structure(c(2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L,
1L), .Label = c("f", "n"), class = "factor"), time = c(1L,
2L, 3L, 4L, 1L, 2L, 1L, 2L, 3L, 4L)), .Names = c("id", "status",
"time"), class = "data.frame", row.names = c(NA, -10L))