我有一个由日期和时间组成的数据,它们采用POSIXct格式,如下所示:
> DayandTime
date_time
1 2015-10-01 11:13:25
2 2015-10-01 12:38:09
3 2015-10-01 17:12:00
4 2015-10-02 11:44:05
5 2015-10-05 13:45:07
6 2015-10-05 14:53:31
7 2015-10-06 11:54:54
8 2015-10-06 16:29:22
9 2015-10-06 18:30:46
10 2015-10-07 08:41:35
11 2015-10-07 09:02:12
12 2015-10-07 10:50:25
13 2015-10-07 11:29:25
14 2015-10-07 11:49:22
15 2015-10-07 13:35:27
16 2015-10-07 15:01:17
17 2015-10-08 11:02:12
18 2015-10-08 12:03:50
19 2015-10-08 14:24:16
20 2015-10-08 14:28:31
对于每一天,我需要在特定的一天添加17.30作为关闭时间或end_time
。例如,对于01 October, 2015
,结束时间为October, 2015 17:30:00
示例输出如下所示:
date_time end_time
1 2015-10-01 11:13:25 2015-10-01 17:30:00
2 2015-10-01 12:38:09 2015-10-01 17:30:00
3 2015-10-01 17:12:00 2015-10-01 17:30:00
4 2015-10-02 11:44:05 2015-10-02 17:30:00
5 2015-10-05 13:45:07 2015-10-05 17:30:00
6 2015-10-05 14:53:31 2015-10-05 17:30:00
7 2015-10-06 11:54:54 2015-10-06 17:30:00
8 2015-10-06 16:29:22 2015-10-06 17:30:00
9 2015-10-06 18:30:46 2015-10-06 17:30:00
10 2015-10-07 08:41:35 2015-10-07 17:30:00
11 2015-10-07 09:02:12 2015-10-07 17:30:00
12 2015-10-07 10:50:25 2015-10-07 17:30:00
13 2015-10-07 11:29:25 2015-10-07 17:30:00
14 2015-10-07 11:49:22 2015-10-07 17:30:00
15 2015-10-07 13:35:27 2015-10-07 17:30:00
16 2015-10-07 15:01:17 2015-10-07 17:30:00
17 2015-10-08 11:02:12 2015-10-08 17:30:00
18 2015-10-08 12:03:50 2015-10-08 17:30:00
19 2015-10-08 14:24:16 2015-10-08 17:30:00
20 2015-10-08 14:28:31 2015-10-08 17:30:00
为每个元素添加小时或分钟或秒听起来很简单,但结果并不像预期的那样。
structure(list(date_time = structure(c(1443678205, 1443683289,
1443699720, 1443766445, 1444032907, 1444037011, 1444112694, 1444129162,
1444136446, 1444187495, 1444188732, 1444195225, 1444197565, 1444198762,
1444205127, 1444210277, 1444282332, 1444286030, 1444294456, 1444294711
), class = c("POSIXct", "POSIXt"), tzone = "")), .Names = "date_time", row.names = c(NA,
-20L), class = "data.frame")
答案 0 :(得分:1)
这个怎么样
将Datetime转换为Date,然后将Concat转换为所需的时间:
DayandTime$end_time <- as.POSIXct(paste(as.Date(as.POSIXct(DayandTime$date_time)), '17:30:00'))