我的数据如下:
site year date
A 2019 2019-08-08
A 2019 2019-08-18
A 2019 2019-10-14
A 2019 2019-10-27
B 2019 2019-08-07
B 2019 2019-08-19
B 2019 2019-10-15
B 2019 2019-10-20
A 2020 2020-08-08
A 2020 2020-08-18
A 2020 2020-10-14
A 2020 2020-10-27
B 2020 2020-08-07
B 2020 2020-08-19
B 2020 2020-10-15
B 2020 2020-10-20
对于每一年，我想对满足以下条件的行进行子集划分:
=<；10月15日
提前感谢您！
转换为yearday并使用filter
library(dplyr)
library(lubridate)
df1 %>%
mutate(date = ymd(date)) %>%
filter(between(yday(date), 228, 289))
-输出
site year date
1 A 2019 2019-08-18
2 A 2019 2019-10-14
3 B 2019 2019-08-19
4 B 2019 2019-10-15
5 A 2020 2020-08-18
6 A 2020 2020-10-14
7 B 2020 2020-08-19
8 B 2020 2020-10-15
df1 <- structure(list(site = c("A", "A", "A", "A", "B", "B", "B", "B",
"A", "A", "A", "A", "B", "B", "B", "B"), year = c(2019L, 2019L,
2019L, 2019L, 2019L, 2019L, 2019L, 2019L, 2020L, 2020L, 2020L,
2020L, 2020L, 2020L, 2020L, 2020L), date = c("2019-08-08", "2019-08-18",
"2019-10-14", "2019-10-27", "2019-08-07", "2019-08-19", "2019-10-15",
"2019-10-20", "2020-08-08", "2020-08-18", "2020-10-14", "2020-10-27",
"2020-08-07", "2020-08-19", "2020-10-15", "2020-10-20")),
class = "数据.frame", row.names = c(NA,
-16L))