勘定POSIX次以不相等的間隔中的R

Question

我的呼入時間列表：

 
dim(incoming) 
[1] 50357  1 

 
head(incoming, n = 50) 
[1] "2015-10-08 02:14:46 EST" "2015-10-08 16:18:04 EST" "2015-10-08 01:32:42 EST" "2015-10-08 18:48:40 EST" 
[5] "2015-10-08 16:53:33 EST" "2015-10-08 12:23:37 EST" "2015-10-08 06:38:34 EST" "2015-10-08 17:15:41 EST" 
[9] "2015-10-08 19:43:00 EST" "2015-10-08 18:19:44 EST" "2015-10-08 01:10:39 EST" "2015-10-08 19:45:04 EST" 
[13] "2015-10-08 18:29:57 EST" "2015-10-08 10:11:58 EST" "2015-10-08 08:44:10 EST" "2015-10-08 09:32:25 EST" 
[17] "2015-10-08 08:23:32 EST" "2015-10-08 14:11:49 EST" "2015-10-08 06:27:45 EST" "2015-10-08 00:54:38 EST" 
[21] "2015-10-08 08:56:34 EST" "2015-10-08 07:12:52 EST" "2015-10-08 18:28:40 EST" "2015-10-08 09:35:34 EST" 
[25] "2015-10-08 09:51:06 EST" "2015-10-08 08:53:54 EST" "2015-10-08 00:42:43 EST" "2015-10-08 10:25:04 EST" 
[29] "2015-10-08 07:13:28 EST" "2015-10-08 08:09:18 EST" "2015-10-08 16:32:59 EST" "2015-10-08 07:37:25 EST" 
[33] "2015-10-08 07:46:52 EST" "2015-10-08 08:25:11 EST" "2015-10-08 11:51:10 EST" "2015-10-08 02:02:02 EST" 
[37] "2015-10-08 09:23:24 EST" "2015-10-08 12:03:03 EST" "2015-10-08 07:36:34 EST" "2015-10-08 08:27:38 EST" 
[41] "2015-10-08 02:16:47 EST" "2015-10-08 08:11:54 EST" "2015-10-08 07:46:22 EST" "2015-10-08 08:34:52 EST" 
[45] "2015-10-08 00:00:37 EST" "2015-10-08 08:37:26 EST" "2015-10-08 01:33:00 EST" "2015-10-08 17:16:15 EST" 
[49] "2015-10-08 09:10:07 EST" "2015-10-08 08:07:43 EST" 

我的目標是在這些時間分配給他們，他們下落入相應的間隔，但是，這些間隔是不等距分開。例如：第一25個間隔是：

 
head(data, n = 25) 
       interval 
1 2015-10-08 00:05:00 
2 2015-10-08 00:12:00 
3 2015-10-08 00:34:00 
4 2015-10-08 00:40:00 
5 2015-10-08 01:32:00 
6 2015-10-08 01:52:00 
7 2015-10-08 02:52:00 
8 2015-10-08 02:58:00 
9 2015-10-08 04:13:00 
10 2015-10-08 04:30:00 
11 2015-10-08 05:58:00 
12 2015-10-08 06:16:00 
13 2015-10-08 06:41:00 
14 2015-10-08 06:54:00 
15 2015-10-08 07:07:00 
16 2015-10-08 07:25:00 
17 2015-10-08 07:38:00 
18 2015-10-08 07:52:00 
19 2015-10-08 08:05:00 
20 2015-10-08 08:18:00 
21 2015-10-08 08:31:00 
22 2015-10-08 08:44:00 
23 2015-10-08 08:57:00 
24 2015-10-08 09:10:00 
25 2015-10-08 09:22:00 

例如，第一時間incoming[1,]應分配給所述二點52分00秒的時間間隔，因爲它落在1點52分00秒和二點52分00秒之間，第三次incoming[3,]應該分配到01:52:00間隔，因爲它在01:32:00和01:52:00之間，等等。

我的最終目標是統計每個區間內有多少次傳入時間。我能夠進入的時間總結成甚至序列，如用10分鐘的時間間隔：interval <- incoming - minutes(minute(incoming) %% 10) - seconds(second(incoming))這將每次分配給一個10分鐘的間隔，但我不知道如何與不等的間隔

 
> dput(data) 
structure(list(interval = structure(c(1444280700, 1444281120, 
1444282440, 1444282800, 1444285920, 1444287120, 1444290720, 1444291080, 
1444295580, 1444296600, 1444301880, 1444302960, 1444304460, 1444305240, 
1444306020, 1444307100, 1444307880, 1444308720, 1444309500, 1444310280, 
1444311060, 1444311840, 1444312620, 1444313400, 1444314120, 1444314900, 
1444315680, 1444316400, 1444317120, 1444317840, 1444318620, 1444319340, 
1444320180,80, 1444321980, 1444322880, 1444323720, 1444324620, 
1444325520, 1444326420, 1444327140, 1444327920, 1444328640, 1444329420, 
1444330140, 1444330920, 1444331700, 1444332480, 1444333200, 1444333980, 
1444334820, 1444335600, 1444336380, 1444337160, 1444337940, 1444338780, 
1444339560, 1444340340, 1444341120, 1444341960, 1444342740, 1444343520, 
1444344780, 1444345920, 1444346700, 1444347480, 1444348260, 1444349040, 
1444349820, 1444350600, 1444351380, 1444352100, 1444352880, 1444353660, 
1444354740, 1444355580, 1444356180, 1444357080, 1444357740, 1444358460, 
1444359180, 1444359840, 1444360560, 1444361220, 1444361880, 1444362960, 
1444363440, 1444364160, 1444364640, 1444365300, 1444366200, 1444366560 
), class = c("POSIXct", "POSIXt"), tzone = "EST")), .Names = "interval", row.names = c(NA, 
92L), class = "data.frame") 

 
> dput(head(incoming, n = 100)) 
structure(list(incoming = structure(c(1444288486, 1444339084, 
1444285962, 1444348120, 1444341213, 1444325017, 1444304314, 1444342541, 
1444351380, 1444346384, 1444284639, 1444351504, 1444346997, 1444317118, 
1444311850, 1444314745, 1444310612, 1444331509, 1444303665, 1444283678, 
1444312594, 1444306372, 1444346920, 1444314934, 1444315866, 1444312434, 
1444282963, 1444317904, 1444306408, 1444309758, 1444339979, 1444307845, 
1444308412, 1444310711, 1444323070, 1444287722, 1444314204, 1444323783, 
1444307794, 1444310858, 1444288607, 1444309914, 1444308382, 1444311292, 
1444280437, 1444311446, 1444285980, 1444342575, 1444313407, 1444309663, 
1444313328, 1444313004, 1444312594, 1444311171, 1444312992, 1444305160, 
1444305558, 1444310477, 1444301756, 1444308008, 1444310435, 1444311397, 
1444305549, 1444281371, 1444281799, 1444282338, 1444281573, 1444280541, 
1444281215, 1444280953, 1444281107, 1444281161, 1444280640, 1444280639, 
1444281847, 1444327017, 1444281855, 1444281842, 1444280998, 1444280620, 
1444280466, 1444280579, 1444280881, 1444280534, 1444280879, 1444280535, 
1444280610, 1444280449, 1444280413, 1444280574, 1444280482, 1444280543, 
1444280536, 1444280527, 1444280889, 1444281854, 1444280954, 1444280444, 
1444281531, 1444281033), class = c("POSIXct", "POSIXt"), tzone = "EST")), .Names = "incoming", row.names = c(NA, 
100L), class = "data.frame") 

做到這一點

Answer 1

我用掃描來讀取這些時間（導致它們都在我的時區），然後檢查findInterval是否是正確的選擇，它似乎處理POSIXct對象沒有抱怨（因爲它們被存儲爲數字後模式）：

> table(findInterval(incoming$incoming, data$interval)) # redone with new dput output 

0 1 2 4 5 6 10 12 13 14 15 16 17 19 20 21 22 23 24 25 26 27 28 30 36 37 38 40 46 56 57 59 60 64 65 66 71 
18 8 11 3 2 3 1 2 1 2 2 2 3 3 5 4 4 3 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 2 

零間隔位於間隔矢量中的第一個「剪切」之前。如果你想讓它移動一個，那麼在-Inf和Inf的側面使用cutpoint矢量（第二個參數）。