按时间段过滤数据帧，在R中过滤ID

Problem:

I am trying to filter my dataframe by specific datetimes that are dependent on an ID vector.

我试图通过依赖于ID向量的特定日期时间来过滤我的数据帧。

Specifically, for observations where df$id == "A", I want to remove rows between 2017-08-05 00:20:00 and 2017-08-10 13:55:00. However, for observations where df$id == "B", I want to remove rows between a different time interval, 2017-08-05 00:30:00 and 2017-08-10 13:55:00.

具体来说,对于df $ id ==“A”的观察,我想在2017-08-05 00:20:00和2017-08-10 13:55:00之间删除行。但是,对于df $ id ==“B”的观察,我想在不同的时间间隔2017-08-05 00:30:00和2017-08-10 13:55:00之间删除行。

Example dataframe:

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)

Desired output:

               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

Thanks!

Edit: if your dataframe has a third category (df$id == "C") that you want to preserve in its entirety:

编辑:如果您的数据框具有要完整保留的第三个类别(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"), ]

1 个解决方案

#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"))
      ), ]