如何解决如何计算 R 中最短和最长的时间间隔？
我有以下名为 phone 的数据集：
| 时间戳 | 时间 | 日期 |
|---|---|---|
| 2021-01-12 10:42:50.221 | 10:42:50 | 2021-01-12 |
| 2021-01-12 10:46:01.826 | 10:46:01 | 2021-01-12 |
| 2021-01-12 10:50:10.063 | 10:50:10 | 2021-01-12 |
| 2021-01-12 10:53:10.715 | 10:53:10 | 2021-01-12 |
| 2021-01-12 10:53:14.329 | 10:53:14 | 2021-01-12 |
| 2021-01-12 10:54:19.792 | 10:54:19 | 2021-01-12 |
| 2021-01-12 11:01:43.044 | 11:01:43 | 2021-01-12 |
| 2021-01-12 11:04:36.202 | 11:04:36 | 2021-01-12 |
我想计算整个数据集的两个连续 time 值之间的时间间隔，以便我可以找到一天中最短和最长的时间间隔。我试过下面的代码，试图计算时差，但它给了我负值，我不知道这有多准确。我也尝试将单位更改为分钟，但输出对我来说没有意义。
v2 <- ymd_hms(phone$TIMESTAMP)
v1 <- difftime(v2[-length(v2)],v2[-1],unit = "hour")
v1 的输出：
| x |
|---|
| -0.0532236 小时 |
| -0.0689547 小时 |
| -0.0501811 小时 |
| -0.0010039 小时 |
| -0.0181842 小时 |
如何计算间隔并按长度降序排列？
我的数据的dput如下：
structure(list(TIMESTAMP = c("2021-01-12 10:42:50.221","2021-01-12 10:46:01.826","2021-01-12 10:50:10.063","2021-01-12 10:53:10.715","2021-01-12 10:53:14.329","2021-01-12 10:54:19.792","2021-01-12 11:01:43.044","2021-01-12 11:04:36.202","2021-01-12 11:07:36.636","2021-01-12 11:18:59.169","2021-01-12 11:25:44.954","2021-01-12 11:25:54.263","2021-01-12 11:26:25.414","2021-01-12 11:28:05.471","2021-01-12 11:30:24.349"),time = c("10:42:50","10:46:01","10:50:10","10:53:10","10:53:14","10:54:19","11:01:43","11:04:36","11:07:36","11:18:59","11:25:44","11:25:54","11:26:25","11:28:05","11:30:24"),date = structure(c(18639,18639,18639),class = "Date")),row.names = c(NA,15L),class = "data.frame")
解决方法
您快到了，difftime(time1,time2) 计算时间 1 - 时间 2，并且由于您的时间戳从最早到最晚排序，因此该差异将始终 = 到第二个参数。
df$diff=c(NA,difftime(tail(df$TIMESTAMP,-1),head(df$TIMESTAMP,unit="hour"))
df[order(df$diff,decreasing=T),]
TIMESTAMP time date diff
10 2021-01-12 11:18:59.169 11:18:59 2021-01-12 0.189592500
7 2021-01-12 11:01:43.044 11:01:43 2021-01-12 0.123125556
11 2021-01-12 11:25:44.954 11:25:44 2021-01-12 0.112718056
3 2021-01-12 10:50:10.063 10:50:10 2021-01-12 0.068954722
2 2021-01-12 10:46:01.826 10:46:01 2021-01-12 0.053223611
4 2021-01-12 10:53:10.715 10:53:10 2021-01-12 0.050181111
9 2021-01-12 11:07:36.636 11:07:36 2021-01-12 0.050120556
8 2021-01-12 11:04:36.202 11:04:36 2021-01-12 0.048099444
15 2021-01-12 11:30:24.349 11:30:24 2021-01-12 0.038577222
14 2021-01-12 11:28:05.471 11:28:05 2021-01-12 0.027793611
6 2021-01-12 10:54:19.792 10:54:19 2021-01-12 0.018184167
13 2021-01-12 11:26:25.414 11:26:25 2021-01-12 0.008653056
12 2021-01-12 11:25:54.263 11:25:54 2021-01-12 0.002585833
5 2021-01-12 10:53:14.329 10:53:14 2021-01-12 0.001003889
1 2021-01-12 10:42:50.221 10:42:50 2021-01-12 NA
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