我正在使用此数据集：
> head(datanet)
Date & Time [Local] Latitude Longitude
1: 06/12/2018 00:00 -2.431071 34.85492
2: 06/12/2018 00:04 -2.430954 34.85469
3: 06/12/2018 00:08 -2.430890 34.85463
4: 06/12/2018 00:12 -2.430927 34.85461
5: 06/12/2018 00:16 -2.430927 34.85461
6: 06/12/2018 00:20 -2.430909 34.85461
我正在将以下代码应用于它：
> datanet1<-datanet[, DateTime := dmy_hm(`Date & Time [Local]`)]
Warning message:
12954 failed to parse.
> head(datanet1)
Date & Time [Local] Latitude Longitude DateTime
1: 06/12/2018 00:00 -2.431071 34.85492 2018-12-06 00:00:00
2: 06/12/2018 00:04 -2.430954 34.85469 2018-12-06 00:04:00
3: 06/12/2018 00:08 -2.430890 34.85463 2018-12-06 00:08:00
4: 06/12/2018 00:12 -2.430927 34.85461 2018-12-06 00:12:00
5: 06/12/2018 00:16 -2.430927 34.85461 2018-12-06 00:16:00
6: 06/12/2018 00:20 -2.430909 34.85461 2018-12-06 00:20:00
当我查看输出的表datanet1时，我发现NA中的某些DateTime中有一些行，但没有其他行。见下文：
> head(datanet1[358:365,])
Date & Time [Local] Latitude Longitude DateTime
1: 06/12/2018 23:48 -2.427663 34.84890 2018-12-06 23:48:00
2: 06/12/2018 23:52 -2.427672 34.84888 2018-12-06 23:52:00
3: 06/12/2018 23:56 -2.427674 34.84888 2018-12-06 23:56:00
4: 06/13/2018 00:00 -2.427672 34.84889 <NA>
5: 06/13/2018 00:04 -2.427573 34.84887 <NA>
6: 06/13/2018 00:08 -2.427573 34.84887 <NA>
可能是什么问题？我已经将此代码用于其他数据集，并且效果很好。我将在下面上传一个dput()示例：
> dput(datanet[1:600,])
structure(list(`Date & Time [Local]` = c("06/12/2018 00:00",
"06/12/2018 00:04", "06/12/2018 00:08", "06/12/2018 00:12", "06/12/2018 00:16",
"06/12/2018 00:20", "06/12/2018 00:24", "06/12/2018 00:28", "06/12/2018 00:32",
"06/12/2018 00:36", "06/12/2018 00:40", "06/12/2018 00:44", "06/12/2018 00:48",
"06/12/2018 00:52", "06/12/2018 00:56", "06/12/2018 01:00", "06/12/2018 01:04",
"06/12/2018 01:08", "06/12/2018 01:12", "06/12/2018 01:16", "06/12/2018 01:20",
"06/12/2018 01:24", "06/12/2018 01:28", "06/12/2018 01:32", "06/12/2018 01:36",
"06/12/2018 01:40", "06/12/2018 01:44", "06/12/2018 01:48", "06/12/2018 01:52",
"06/12/2018 01:56", "06/12/2018 02:00", "06/12/2018 02:04", "06/12/2018 02:08",
"06/12/2018 02:12", "06/12/2018 02:16", "06/12/2018 02:20", "06/12/2018 02:24",
"06/12/2018 02:28", "06/12/2018 02:32", "06/12/2018 02:36", "06/12/2018 02:40",
"06/12/2018 02:44", "06/12/2018 02:48", "06/12/2018 02:52", "06/12/2018 02:56",
"06/12/2018 03:00", "06/12/2018 03:04", "06/12/2018 03:08", "06/12/2018 03:12",
"06/12/2018 03:16", "06/12/2018 03:20", "06/12/2018 03:24", "06/12/2018 03:28",
"06/12/2018 03:32", "06/12/2018 03:36", "06/12/2018 03:40", "06/12/2018 03:44",
"06/12/2018 03:48", "06/12/2018 03:52", "06/12/2018 03:56", "06/12/2018 04:00",
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"06/12/2018 05:40", "06/12/2018 05:44", "06/12/2018 05:48", "06/12/2018 05:52",
"06/12/2018 05:56", "06/12/2018 06:00", "06/12/2018 06:04", "06/12/2018 06:08",
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"06/13/2018 15:48", "06/13/2018 15:52", "06/13/2018 15:56"),
Latitude = c(-2.4310708, -2.4309536, -2.43089, -2.4309269,
-2.4309269, -2.4309086, -2.4307103, -2.4307103, -2.4307103,
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感谢您的帮助！
答案 0 :(得分：4)
应为mdy_hm。没有13月份，因此dmy_hm将在06/13/2018 00:00及其之后的任何行上失败。
library(data.table)
library(lubridate)
datanet1 <- datanet[, DateTime := mdy_hm(`Date & Time [Local]`)]
答案 1 :(得分：3)
anytime::anytime将通过检查数据来选择适当的格式，并且@www回答时，这是格式错误的情况
library(anytime)
datanet[, DateTime := anytime(`Date & Time [Local]`)]
any(is.na(datanet$DateTime))
#[1] FALSE