我是新练习R，现在陷入困境已经好几天不能继续了。 我选择了我记录的数据进行分析。从2个示例设备每小时记录一次数据，并且记录设备与数据库服务器之间存在一些小的延迟问题，因此数小时可以在秒0（+ -5或保持变化非常小）的情况下记录数据。你可以在示例数据中清楚地看到。
重大问题
1）Date列中的某些行在秒部分不相等。
2）在我通过head（df1,24）/ head（df2,24）选择了示例数据之后，在Date中有一些行缺少行我在df2'找到了丢失的行，并且得到了结果喜欢在这里。如果有10000个选定行将成为许多缺失值的大问题。
> class(df1$Date)
[1] "POSIXct" "POSIXt"
DF1
> df1
Date Val Weekday
1 2017-06-08 13:00:04 520 Thursday
2 2017-06-08 12:00:04 507 Thursday
3 2017-06-08 11:00:04 501 Thursday
4 2017-06-08 10:00:04 472 Thursday
5 2017-06-08 09:00:04 444 Thursday
6 2017-06-08 08:00:04 446 Thursday
7 2017-06-08 07:00:04 444 Thursday
8 2017-06-08 06:00:04 441 Thursday
9 2017-06-08 05:00:04 439 Thursday
10 2017-06-08 04:00:04 442 Thursday
11 2017-06-08 03:00:04 440 Thursday
12 2017-06-08 02:00:04 443 Thursday
13 2017-06-08 01:00:04 445 Thursday
14 2017-06-08 00:00:04 445 Thursday
15 2017-06-07 23:00:04 446 Wednesday
16 2017-06-07 22:00:04 445 Wednesday
17 2017-06-07 21:00:04 447 Wednesday
18 2017-06-07 20:00:04 445 Wednesday
19 2017-06-07 19:00:04 451 Wednesday
20 2017-06-07 18:00:04 469 Wednesday
21 2017-06-07 17:00:04 473 Wednesday
22 2017-06-07 16:00:04 510 Wednesday
23 2017-06-07 15:00:04 517 Wednesday
24 2017-06-07 14:00:04 524 Wednesday
DF2
> df2
Date df1.Val Weekday
1 2017-06-08 12:00:04 507 Thursday
2 2017-06-08 11:00:04 501 Thursday
3 2017-06-08 10:00:04 472 Thursday
4 2017-06-08 09:00:04 444 Thursday
5 2017-06-08 08:00:04 446 Thursday
6 2017-06-08 07:00:04 444 Thursday
7 2017-06-08 06:00:04 441 Thursday
8 2017-06-08 05:00:04 439 Thursday
9 2017-06-08 04:00:04 442 Thursday
10 2017-06-08 03:00:04 440 Thursday
11 2017-06-08 02:00:04 443 Thursday
12 2017-06-08 01:00:04 445 Thursday
13 2017-06-08 00:00:04 445 Thursday
14 2017-06-07 23:00:04 446 Wednesday
15 2017-06-07 22:00:04 445 Wednesday
16 2017-06-07 21:00:04 447 Wednesday
17 2017-06-07 20:00:04 445 Wednesday
18 2017-06-07 19:00:04 451 Wednesday
19 2017-06-07 18:00:04 469 Wednesday
20 2017-06-07 17:00:04 473 Wednesday
21 2017-06-07 16:00:03 510 Wednesday
22 2017-06-07 15:00:03 517 Wednesday
23 2017-06-07 14:00:03 524 Wednesday
24 2017-06-07 13:00:03 489 Wednesday
那么，如何准备数据以便能够组合数据帧？
我希望输出如下例所示：
Date df1.Val df2.Val Weekday
2017-06-08 13:00:04 520 Thursday
2017-06-08 12:00:00 507 507 Thursday
2017-06-08 11:00:00 501 501 Thursday
2017-06-08 10:00:00 472 472 Thursday
2017-06-08 09:00:00 444 444 Thursday
2017-06-08 08:00:00 446 446 Thursday
2017-06-08 07:00:00 444 444 Thursday
2017-06-08 06:00:00 441 441 Thursday
2017-06-08 05:00:00 439 439 Thursday
2017-06-08 04:00:00 442 442 Thursday
2017-06-08 03:00:00 440 440 Thursday
2017-06-08 02:00:00 443 443 Thursday
2017-06-08 01:00:00 445 445 Thursday
2017-06-08 00:00:00 445 445 Thursday
2017-06-07 23:00:00 446 446 Wednesday
2017-06-07 22:00:00 445 445 Wednesday
2017-06-07 21:00:00 447 447 Wednesday
2017-06-07 20:00:00 445 445 Wednesday
2017-06-07 19:00:00 451 451 Wednesday
2017-06-07 18:00:00 469 469 Wednesday
2017-06-07 17:00:00 473 473 Wednesday
2017-06-07 16:00:00 510 510 Wednesday
2017-06-07 15:00:00 517 517 Wednesday
2017-06-07 14:00:00 524 524 Wednesday
2017-06-07 13:00:00 489 Wednesday
但这些对Val来说是相同的，因为如果来自不同来源的设备从相同的源获得val，则假设它将是这样的：
Date df1.Val df3.Val Weekday
2017-06-08 13:00:04 520 550 Thursday
2017-06-08 12:00:00 507 515 Thursday
2017-06-08 11:00:00 501 496 Thursday
请帮忙。非常感谢你。
答案 0 :(得分：0)
现在应该可以了。有一点需要注意，新数据框会自动排序。：
state.userInfo = Object.assign({}, state.userInfo, data)