按时间段和R中的ID过滤数据帧

Question

问题：

我试图通过依赖于ID向量的特定日期时间来过滤数据框。

具体来说，对于df$id == "A"观察，我想删除2017-08-05 00:20:00和2017-08-10 13:55:00之间的行。 但是，对于df$id == "B"观察，我想删除不同时间间隔（ 2017-08-05 00:30:00和2017-08-10 13:55:00之间的行。

示例数据框：

date <- as.POSIXct(c("2017-08-04 16:40:00","2017-08-05 00:20:00","2017-08-10 13:55:00","2017-08-15 08:35:00", "2017-08-04 17:20:00","2017-08-05 00:30:00","2017-08-10 13:55:00","2017-08-15 09:30:00"), format = "%Y-%m-%d %H:%M:%S")
value <- as.numeric(c(1, 2, 3, 4, 1, 2, 3, 4))
id <- as.factor(c("A","A","A","A","B","B","B","B"))
df <- data.frame(date, value, id)

所需的输出：

               date value id
2017-08-04 16:40:00     1  A
2017-08-15 08:35:00     4  A
2017-08-04 17:20:00     1  B
2017-08-15 09:30:00     4  B

谢谢！

编辑：如果您的数据框具有您要完整保留的第三类（ df$id == "C" ）：

df[which(
  (df$id == "A" & (df$date < "2017-08-05 00:20:00" | df$date > "2017-08-10 13:55:00")) |
    (df$id == "B" & (df$date < "2017-08-05 00:30:00" | df$date > "2017-08-10 13:55:00"))
 | df$id == "C"), ]

Answer 1

df[which(
        (df$id == "A" & (df$date < "2017-08-05 00:20:00" | df$date > "2017-08-10 13:55:00")) |
        (df$id == "B" & (df$date < "2017-08-05 00:30:00" | df$date > "2017-08-10 13:55:00"))
      ), ]