在TableA中，我有观察结果的观察值（num）和DateTimes（POSIXct）。在另一个表（B）中，我有groupId（char），StartDateTimes（POSIXct）和EndDateTimes（POSIXct）。
我想加入这两个表，以便TableA中的每个观察都被分配一个来自TableB的groupId，基于TableB的哪个区间具有哪个TableA观察属于它们。
我问了一个关于SQL的类似问题，得到了一个有效的答案here。
但现在我正试图用R和RStudio做到这一点。
我已经尝试使用sqldf包来重用其他问题的SQL答案，我也尝试使用interval_inner_join函数的fuzzyjoin包，但在这两种情况下，我只得到匹配的178个观察中的12个，并且它们匹配到观察日期时间实际上没有落入的间隔（间隔是从第二天开始）。
我尝试使用sqldf-
Answer <- sqldf::sqldf('SELECT a.*, b.id
FROM a, b
WHERE a.dt between b.start and b.end')
结果 -
WEIGHT, dt , id
1. 1098 , 2019-03-27 06:58:16 , 1928
2. 1074 , 2019-03-27 06:59:13 , 1928
3. 1037 , 2019-03-27 07:02:52 , 1928
4. 1032 , 2019-03-27 07:03:53 , 1928
5. 1073 , 2019-03-27 07:08:21 , 1928
6. 1054 , 2019-03-27 07:09:25 , 1928
7. 996 , 2019-03-27 07:11:54 , 1928
8. 1081 , 2019-03-27 07:12:49 , 1928
9. 1010, 2019-03-27 07:30:40 , 1928
10. 980 , 2019-03-27 07:38:21 , 1928
11. 1044 , 2019-03-27 07:54:18 , 1928
12. 1009 , 2019-03-27 07:58:06 , 1928
我尝试使用fuzzyjoin-
a <- a %>%
mutate(start = dt,
end = dt) %>%
select(-dt)
Answer <- interval_inner_join(a, b, by = c('start','end'))
结果 - （没有足够的空间，但是end.y全部是2019-03-26 19:00:00）
WEIGHT, start.x , end.x , start.y, (end.y), id
1. 1098 ,2019-03-27 06:58:16 , 2019-03-27 06:58:16 , 2019-03-26 15:24:00,1928
2. 1074 ,2019-03-27 06:59:13 , 2019-03-27 06:59:13 , 2019-03-26 15:24:00,1928
3. 1037 ,2019-03-27 07:02:52 , 2019-03-27 07:02:52 , 2019-03-26 15:24:00,1928
4. 1032 ,2019-03-27 07:03:53 , 2019-03-27 07:03:53 , 2019-03-26 15:24:00,1928
5. 1073 ,2019-03-27 07:08:21 , 2019-03-27 07:08:21 , 2019-03-26 15:24:00,1928
6. 1054 ,2019-03-27 07:09:25 , 2019-03-27 07:09:25 , 2019-03-26 15:24:00,1928
7. 996 ,2019-03-27 07:11:54 , 2019-03-27 07:11:54 , 2019-03-26 15:24:00,1928
8. 1081 ,2019-03-27 07:12:49 , 2019-03-27 07:12:49 , 2019-03-26 15:24:00,1928
9. 1010,2019-03-27 07:30:40 , 2019-03-27 07:30:40 , 2019-03-26 15:24:00,1928
10. 980 ,2019-03-27 07:38:21 , 2019-03-27 07:38:21 , 2019-03-26 15:24:00,1928
11. 1044 ,2019-03-27 07:54:18 , 2019-03-27 07:54:18 , 2019-03-26 15:24:00,1928
12. 1009 ,2019-03-27 07:58:06 , 2019-03-27 07:58:06 ,2019-03-26 15:24:00,1928
正如您在上面所看到的，结果是我只获得了12场比赛并且不正确。它将12个观测值与178个观测值中的附近但不正确的区间相匹配。
理想情况下，我至少会得到匹配的178个观测值中的大多数，显然是正确的。现在，一个复杂的问题可能是存在一些重叠的区间，并且有些观察结果可能落在多个区间内。这是问题吗？是否可以处理这些案件以提高NA身份？
任何帮助将非常感激。
以下是tsv格式的原始数据：
表A
WEIGHT dt
894 18/12/2018 11:51
946 18/12/2018 11:52
907 14/02/2019 11:53
921 25/02/2019 10:52
866 25/02/2019 10:53
1021 25/02/2019 18:07
1022 25/02/2019 18:09
1032 25/02/2019 18:12
979 25/02/2019 18:16
1097 25/02/2019 18:19
1094 25/02/2019 18:23
880 26/02/2019 10:58
866 26/02/2019 11:00
876 26/02/2019 11:01
876 26/02/2019 11:01
861 26/02/2019 11:04
869 26/02/2019 11:06
890 26/02/2019 11:07
759 26/02/2019 11:10
813 26/02/2019 11:11
845 26/02/2019 11:30
989 26/02/2019 12:15
894 26/02/2019 15:00
963 26/02/2019 15:01
928 26/02/2019 15:03
822 26/02/2019 15:11
906 26/02/2019 15:14
994 26/02/2019 15:32
1011 26/02/2019 15:34
1004 26/02/2019 16:59
996 26/02/2019 17:01
883 26/02/2019 17:03
942 26/02/2019 17:05
950 26/02/2019 17:07
1018 26/02/2019 17:27
1003 28/02/2019 9:34
1021 28/02/2019 9:38
984 28/02/2019 9:42
942 28/02/2019 9:45
1067 28/02/2019 9:50
1034 28/02/2019 9:53
1087 28/02/2019 9:56
1040 28/02/2019 10:00
1090 28/02/2019 10:10
1029 28/02/2019 10:31
1023 28/02/2019 10:36
1010 28/02/2019 10:38
1051 28/02/2019 10:41
988 28/02/2019 10:42
1100 28/02/2019 10:43
985 1/03/2019 11:21
924 1/03/2019 11:22
988 1/03/2019 11:27
1001 1/03/2019 11:30
994 1/03/2019 11:35
958 1/03/2019 11:46
960 1/03/2019 11:48
990 1/03/2019 11:51
995 1/03/2019 11:52
928 1/03/2019 13:14
925 1/03/2019 13:16
1052 1/03/2019 13:18
1034 1/03/2019 13:27
1031 1/03/2019 13:28
944 1/03/2019 13:56
1038 1/03/2019 13:58
1056 1/03/2019 14:32
1050 1/03/2019 16:45
958 1/03/2019 17:33
1007 14/03/2019 14:19
985 14/03/2019 14:31
978 14/03/2019 14:35
1031 14/03/2019 14:56
976 14/03/2019 15:01
1063 14/03/2019 15:03
965 14/03/2019 15:06
1050 14/03/2019 15:07
894 14/03/2019 15:11
830 25/03/2019 11:14
920 25/03/2019 11:16
966 25/03/2019 11:18
992 25/03/2019 11:20
881 25/03/2019 11:21
823 25/03/2019 11:22
1046 25/03/2019 11:23
913 25/03/2019 11:24
885 25/03/2019 11:26
944 25/03/2019 11:28
938 25/03/2019 11:31
937 25/03/2019 11:36
937 25/03/2019 11:36
946 25/03/2019 11:40
985 25/03/2019 11:41
942 25/03/2019 11:45
1098 27/03/2019 6:58
1074 27/03/2019 6:59
1037 27/03/2019 7:02
1032 27/03/2019 7:03
1073 27/03/2019 7:08
1054 27/03/2019 7:09
996 27/03/2019 7:11
1081 27/03/2019 7:12
1010 27/03/2019 7:30
980 27/03/2019 7:38
1044 27/03/2019 7:54
1009 27/03/2019 7:58
963 27/03/2019 8:07
1047 27/03/2019 8:10
1114 27/03/2019 8:20
1110 27/03/2019 8:24
1009 27/03/2019 8:32
998 27/03/2019 11:49
1076 27/03/2019 17:48
1042 27/03/2019 17:51
1011 27/03/2019 17:53
1068 27/03/2019 17:54
1061 27/03/2019 17:58
1018 27/03/2019 17:59
1063 27/03/2019 18:00
1093 27/03/2019 18:00
1108 27/03/2019 18:01
1083 27/03/2019 18:03
1109 27/03/2019 18:05
1057 27/03/2019 18:06
1066 27/03/2019 18:07
1043 27/03/2019 18:08
1054 27/03/2019 18:09
1018 27/03/2019 18:11
1048 27/03/2019 18:12
1045 27/03/2019 18:13
1065 27/03/2019 18:18
1066 27/03/2019 18:19
1052 5/04/2019 13:50
1056 6/04/2019 16:43
1042 6/04/2019 16:43
1039 6/04/2019 16:49
954 6/04/2019 16:49
1015 6/04/2019 16:52
1009 6/04/2019 16:52
1026 6/04/2019 16:55
991 6/04/2019 16:56
1050 6/04/2019 17:13
1050 6/04/2019 17:13
934 6/04/2019 17:14
892 6/04/2019 17:23
1029 6/04/2019 17:26
1020 6/04/2019 17:29
1060 6/04/2019 17:32
1007 6/04/2019 17:35
989 6/04/2019 17:38
1006 6/04/2019 17:41
993 6/04/2019 17:45
1048 6/04/2019 17:52
1025 6/04/2019 17:57
1046 6/04/2019 18:21
988 6/04/2019 18:22
1024 8/04/2019 7:17
1076 8/04/2019 7:18
963 8/04/2019 7:19
1122 8/04/2019 7:20
1019 8/04/2019 7:21
1014 8/04/2019 7:22
907 8/04/2019 7:22
1033 8/04/2019 7:23
989 8/04/2019 7:25
1010 8/04/2019 7:26
1015 8/04/2019 7:27
979 8/04/2019 7:28
1018 8/04/2019 7:28
1054 8/04/2019 7:29
937 8/04/2019 7:31
918 8/04/2019 7:32
1054 8/04/2019 7:33
977 8/04/2019 7:34
1028 8/04/2019 7:35
942 8/04/2019 7:36
1009 8/04/2019 7:38
927 8/04/2019 7:39
表B
start end id
13/11/2018 10:54 13/11/2018 16:30 1900
14/11/2018 8:00 14/11/2018 16:30 1900
22/11/2018 8:00 22/11/2018 16:30 1900
29/11/2018 13:04 29/11/2018 16:30 1903
30/11/2018 8:00 30/11/2018 16:30 1903
3/12/2018 8:00 3/12/2018 16:30 1903
4/12/2018 8:00 4/12/2018 16:30 1903
5/12/2018 8:00 5/12/2018 16:30 1903
6/12/2018 8:00 6/12/2018 9:47 1900
6/12/2018 9:47 6/12/2018 14:30 1903
10/12/2018 8:00 10/12/2018 16:30 1905
12/12/2018 8:00 12/12/2018 16:30 1905
13/12/2018 8:00 13/12/2018 16:33 1901
14/12/2018 8:00 14/12/2018 11:30 1905
14/12/2018 11:19 14/12/2018 16:30 1904
17/12/2018 8:00 17/12/2018 13:45 1904
17/12/2018 13:45 17/12/2018 14:45 1904
17/12/2018 14:41 17/12/2018 16:30 1902
18/12/2018 8:00 18/12/2018 16:30 1902
19/12/2018 8:00 19/12/2018 14:00 1902
19/12/2018 14:07 19/12/2018 16:30 1902
21/12/2018 8:00 21/12/2018 16:30 1905
7/01/2019 8:00 7/01/2019 16:30 1905
8/01/2019 8:00 8/01/2019 16:30 1905
9/01/2019 8:00 9/01/2019 16:30 1905
10/01/2019 8:00 10/01/2019 15:30 1905
10/01/2019 15:23 10/01/2019 16:30 1906
11/01/2019 8:00 11/01/2019 9:50 1902
11/01/2019 9:37 11/01/2019 16:31 1902
14/01/2019 8:00 14/01/2019 11:45 1902
14/01/2019 11:44 14/01/2019 13:00 1909
14/01/2019 12:10 14/01/2019 13:10 1910
14/01/2019 13:00 14/01/2019 16:30 1910
15/01/2019 8:00 15/01/2019 16:30 1910
16/01/2019 8:00 16/01/2019 16:30 1907
17/01/2019 8:00 17/01/2019 16:30 1907
18/01/2019 8:00 18/01/2019 8:17 1905
18/01/2019 8:00 18/01/2019 16:30 1907
21/01/2019 8:00 21/01/2019 16:30 1912
22/01/2019 8:00 22/01/2019 16:30 1912
23/01/2019 8:00 23/01/2019 16:30 1912
24/01/2019 8:00 24/01/2019 13:30 1912
24/01/2019 13:31 24/01/2019 16:30 1921
25/01/2019 8:00 25/01/2019 10:15 1921
25/01/2019 10:15 25/01/2019 16:30 1907
29/01/2019 8:00 29/01/2019 10:15 1902
29/01/2019 13:00 29/01/2019 16:30 1950
30/01/2019 8:00 30/01/2019 16:30 1950
31/01/2019 8:00 31/01/2019 16:30 1920
1/02/2019 8:00 1/02/2019 16:30 1920
2/02/2019 8:00 2/02/2019 16:30 1915
4/02/2019 7:00 4/02/2019 19:00 1950
5/02/2019 7:00 5/02/2019 19:04 1950
7/02/2019 7:00 7/02/2019 11:15 1920
7/02/2019 11:09 7/02/2019 15:25 1924
7/02/2019 15:15 7/02/2019 19:00 1924
8/02/2019 7:00 8/02/2019 8:30 1950
8/02/2019 7:59 8/02/2019 19:00 1950
9/02/2019 7:00 9/02/2019 19:02 1950
9/02/2019 10:16 9/02/2019 11:45 1950
9/02/2019 11:45 9/02/2019 19:00 1912
11/02/2019 7:00 11/02/2019 14:01 1950
11/02/2019 7:00 11/02/2019 10:20 1912
11/02/2019 10:17 11/02/2019 19:00 1950
11/02/2019 11:23 11/02/2019 11:40 1915
11/02/2019 13:45 11/02/2019 19:00 1950
12/02/2019 7:00 12/02/2019 12:00 1950
12/02/2019 7:01 12/02/2019 16:30 1950
12/02/2019 11:38 12/02/2019 19:05 1958
12/02/2019 16:30 12/02/2019 19:06 1905
13/02/2019 7:00 13/02/2019 19:01 1924
13/02/2019 7:00 13/02/2019 9:35 1905
14/02/2019 7:00 14/02/2019 15:00 1924
14/02/2019 14:54 14/02/2019 19:00 1972
15/02/2019 7:00 15/02/2019 15:00 1970
15/02/2019 15:00 15/02/2019 19:00 1958
16/02/2019 7:00 16/02/2019 17:30 1958
16/02/2019 17:22 16/02/2019 19:00 1958
18/02/2019 7:00 18/02/2019 10:30 1958
18/02/2019 10:12 18/02/2019 15:30 1955
18/02/2019 14:49 18/02/2019 19:00 1913
19/02/2019 7:00 19/02/2019 19:00 1924
19/02/2019 8:54 19/02/2019 9:35 1958
19/02/2019 9:37 19/02/2019 9:40 1913
20/02/2019 7:00 20/02/2019 19:00 1924
21/02/2019 7:00 21/02/2019 19:07 1913
21/02/2019 9:53 21/02/2019 10:07 1915
21/02/2019 10:06 21/02/2019 17:40 1913
21/02/2019 17:42 21/02/2019 19:00 1915
22/02/2019 7:00 22/02/2019 19:05 1935
22/02/2019 7:00 22/02/2019 8:15 1915
22/02/2019 8:21 22/02/2019 13:40 1913
22/02/2019 14:00 22/02/2019 19:00 1920
23/02/2019 7:00 23/02/2019 10:00 1953
23/02/2019 7:12 23/02/2019 8:20 1920
23/02/2019 8:21 23/02/2019 10:00 1972
23/02/2019 10:02 23/02/2019 19:04 1943
23/02/2019 10:20 23/02/2019 11:00 1958
25/02/2019 7:00 25/02/2019 13:00 1930
25/02/2019 13:02 25/02/2019 19:00 1972
26/02/2019 7:00 26/02/2019 19:00 1930
27/02/2019 7:00 27/02/2019 19:00 1930
28/02/2019 7:00 28/02/2019 14:45 1943
28/02/2019 8:27 28/02/2019 19:03 1915
28/02/2019 14:26 28/02/2019 19:01 1913
1/03/2019 7:00 1/03/2019 13:00 1913
1/03/2019 7:00 1/03/2019 9:00 3316
1/03/2019 9:32 1/03/2019 13:40 1913
1/03/2019 11:49 1/03/2019 11:49 3316
1/03/2019 13:02 1/03/2019 19:00 1960
1/03/2019 13:48 1/03/2019 19:00 1924
2/03/2019 7:00 2/03/2019 19:09 1960
4/03/2019 7:00 4/03/2019 19:00 1972
5/03/2019 7:00 5/03/2019 14:30 1935
5/03/2019 8:45 5/03/2019 19:00 1924
5/03/2019 14:17 5/03/2019 19:00 1924
6/03/2019 7:00 6/03/2019 18:00 1924
6/03/2019 7:52 6/03/2019 18:00 1950
6/03/2019 17:31 6/03/2019 19:00 1973
6/03/2019 18:00 6/03/2019 19:00 1930
7/03/2019 6:27 7/03/2019 17:10 1973
7/03/2019 17:10 7/03/2019 19:00 1972
8/03/2019 7:00 8/03/2019 19:00 1960
8/03/2019 7:00 8/03/2019 19:00 1915
9/03/2019 7:00 9/03/2019 7:00 1960
9/03/2019 7:00 9/03/2019 15:45 1915
11/03/2019 7:00 11/03/2019 19:00 1978
12/03/2019 7:00 12/03/2019 13:53 1978
12/03/2019 13:44 12/03/2019 19:00 1978
13/03/2019 7:00 13/03/2019 19:00 1928
14/03/2019 7:00 14/03/2019 17:10 1960
14/03/2019 17:10 14/03/2019 19:00 1915
15/03/2019 7:00 15/03/2019 10:20 1960
15/03/2019 10:02 15/03/2019 19:00 1940
16/03/2019 7:00 16/03/2019 19:00 1940
18/03/2019 7:00 18/03/2019 9:00 1978
18/03/2019 8:36 18/03/2019 11:57 1978
18/03/2019 11:44 18/03/2019 19:00 1978
19/03/2019 7:00 19/03/2019 9:40 1978
19/03/2019 9:34 19/03/2019 19:00 1928
20/03/2019 7:00 20/03/2019 19:00 1928
20/03/2019 9:29 20/03/2019 9:50 1960
20/03/2019 9:50 20/03/2019 12:00 1940
20/03/2019 11:53 20/03/2019 14:30 1958
20/03/2019 14:31 20/03/2019 19:00 1960
21/03/2019 7:00 21/03/2019 19:00 1928
22/03/2019 7:00 22/03/2019 19:00 1962
22/03/2019 8:37 22/03/2019 19:00 1960
22/03/2019 14:33 22/03/2019 14:40 1935
22/03/2019 14:41 22/03/2019 16:50 1930
23/03/2019 7:00 23/03/2019 19:00 1962
23/03/2019 7:00 23/03/2019 9:30 1960
23/03/2019 9:37 23/03/2019 13:00 1960
23/03/2019 13:00 23/03/2019 13:59 1958
23/03/2019 14:01 23/03/2019 19:00 1943
25/03/2019 7:00 25/03/2019 19:00 1928
26/03/2019 7:00 26/03/2019 15:30 1928
26/03/2019 15:24 26/03/2019 19:00 1928
27/03/2019 7:00 27/03/2019 19:00 1926
27/03/2019 9:24 27/03/2019 10:20 1960
27/03/2019 10:25 27/03/2019 19:00 1950
28/03/2019 7:00 28/03/2019 19:00 1980
28/03/2019 11:59 28/03/2019 19:00 1950
29/03/2019 7:00 29/03/2019 17:30 1962
29/03/2019 7:04 29/03/2019 9:30 1980
29/03/2019 7:00 29/03/2019 16:25 1910
29/03/2019 16:27 29/03/2019 19:00 1910
29/03/2019 16:53 29/03/2019 19:00 1980
30/03/2019 7:00 30/03/2019 15:30 1980
30/03/2019 15:21 30/03/2019 19:00 1915
1/04/2019 7:00 1/04/2019 19:00 1926
2/04/2019 7:00 2/04/2019 11:15 1926
2/04/2019 10:55 2/04/2019 19:00 1978
3/04/2019 7:00 3/04/2019 19:00 1978
4/04/2019 7:00 4/04/2019 10:15 1954
4/04/2019 9:56 4/04/2019 13:46 1987
4/04/2019 13:46 4/04/2019 19:00 1987
5/04/2019 7:00 5/04/2019 19:00 1987
5/04/2019 10:26 5/04/2019 19:00 1926
6/04/2019 7:00 6/04/2019 19:00 1987
6/04/2019 7:00 6/04/2019 9:15 1935
6/04/2019 9:22 6/04/2019 9:30 1973
6/04/2019 9:35 6/04/2019 14:30 1972
6/04/2019 14:28 6/04/2019 19:00 1924
8/04/2019 7:00 8/04/2019 17:15 1972
8/04/2019 16:53 8/04/2019 18:30 1907
9/04/2019 7:00 9/04/2019 16:30 1932
9/04/2019 16:19 9/04/2019 19:00 1932
10/04/2019 7:00 10/04/2019 10:00 1932
10/04/2019 9:41 10/04/2019 18:15 1978
10/04/2019 17:41 10/04/2019 19:00 1970
这个question的答案有一个很酷的技巧来做这样的事情：
library(dplyr)
A %>%
# add dummy variable to first table
mutate(dummy=TRUE) %>%
# join with the second table after adding a dummy variable to it too
left_join(B %>% mutate(dummy=TRUE)) %>%
# filter by the conditions you want
filter(dt >= start, dt <= end) %>%
# remove the dummy column or choose whatever columns you want
select(-dummy)
请注意，问题中发布的原始数据在date_time列中没有秒，这与您在尝试中显示的示例不同，而tableA包含一些重复的行（例如，参见dt == '26/02/2019 11:01'时）
将date_time列转换为POSIXct后的原始数据
表A：
A <- structure(list(WEIGHT = c(894L, 946L, 907L, 921L, 866L, 1021L,
1022L, 1032L, 979L, 1097L, 1094L, 880L, 866L, 876L, 876L, 861L,
869L, 890L, 759L, 813L, 845L, 989L, 894L, 963L, 928L, 822L, 906L,
994L, 1011L, 1004L, 996L, 883L, 942L, 950L, 1018L, 1003L, 1021L,
984L, 942L, 1067L, 1034L, 1087L, 1040L, 1090L, 1029L, 1023L,
1010L, 1051L, 988L, 1100L, 985L, 924L, 988L, 1001L, 994L, 958L,
960L, 990L, 995L, 928L, 925L, 1052L, 1034L, 1031L, 944L, 1038L,
1056L, 1050L, 958L, 1007L, 985L, 978L, 1031L, 976L, 1063L, 965L,
1050L, 894L, 830L, 920L, 966L, 992L, 881L, 823L, 1046L, 913L,
885L, 944L, 938L, 937L, 937L, 946L, 985L, 942L, 1098L, 1074L,
1037L, 1032L, 1073L, 1054L, 996L, 1081L, 1010L, 980L, 1044L,
1009L, 963L, 1047L, 1114L, 1110L, 1009L, 998L, 1076L, 1042L,
1011L, 1068L, 1061L, 1018L, 1063L, 1093L, 1108L, 1083L, 1109L,
1057L, 1066L, 1043L, 1054L, 1018L, 1048L, 1045L, 1065L, 1066L,
1052L, 1056L, 1042L, 1039L, 954L, 1015L, 1009L, 1026L, 991L,
1050L, 1050L, 934L, 892L, 1029L, 1020L, 1060L, 1007L, 989L, 1006L,
993L, 1048L, 1025L, 1046L, 988L, 1024L, 1076L, 963L, 1122L, 1019L,
1014L, 907L, 1033L, 989L, 1010L, 1015L, 979L, 1018L, 1054L, 937L,
918L, 1054L, 977L, 1028L, 942L, 1009L, 927L),
dt = structure(c(1545133860,
1545133920, 1550145180, 1551091920, 1551091980, 1551118020, 1551118140,
1551118320, 1551118560, 1551118740, 1551118980, 1551178680, 1551178800,
1551178860, 1551178860, 1551179040, 1551179160, 1551179220, 1551179400,
1551179460, 1551180600, 1551183300, 1551193200, 1551193260, 1551193380,
1551193860, 1551194040, 1551195120, 1551195240, 1551200340, 1551200460,
1551200580, 1551200700, 1551200820, 1551202020, 1551346440, 1551346680,
1551346920, 1551347100, 1551347400, 1551347580, 1551347760, 1551348000,
1551348600, 1551349860, 1551350160, 1551350280, 1551350460, 1551350520,
1551350580, 1551439260, 1551439320, 1551439620, 1551439800, 1551440100,
1551440760, 1551440880, 1551441060, 1551441120, 1551446040, 1551446160,
1551446280, 1551446820, 1551446880, 1551448560, 1551448680, 1551450720,
1551458700, 1551461580, 1552573140, 1552573860, 1552574100, 1552575360,
1552575660, 1552575780, 1552575960, 1552576020, 1552576260, 1553512440,
1553512560, 1553512680, 1553512800, 1553512860, 1553512920, 1553512980,
1553513040, 1553513160, 1553513280, 1553513460, 1553513760, 1553513760,
1553514000, 1553514060, 1553514300, 1553669880, 1553669940, 1553670120,
1553670180, 1553670480, 1553670540, 1553670660, 1553670720, 1553671800,
1553672280, 1553673240, 1553673480, 1553674020, 1553674200, 1553674800,
1553675040, 1553675520, 1553687340, 1553708880, 1553709060, 1553709180,
1553709240, 1553709480, 1553709540, 1553709600, 1553709600, 1553709660,
1553709780, 1553709900, 1553709960, 1553710020, 1553710080, 1553710140,
1553710260, 1553710320, 1553710380, 1553710680, 1553710740, 1554472200,
1554568980, 1554568980, 1554569340, 1554569340, 1554569520, 1554569520,
1554569700, 1554569760, 1554570780, 1554570780, 1554570840, 1554571380,
1554571560, 1554571740, 1554571920, 1554572100, 1554572280, 1554572460,
1554572700, 1554573120, 1554573420, 1554574860, 1554574920, 1554707820,
1554707880, 1554707940, 1554708000, 1554708060, 1554708120, 1554708120,
1554708180, 1554708300, 1554708360, 1554708420, 1554708480, 1554708480,
1554708540, 1554708660, 1554708720, 1554708780, 1554708840, 1554708900,
1554708960, 1554709080, 1554709140), class = c("POSIXct", "POSIXt"
), tzone = "UTC")), row.names = c(NA, -178L), class = "data.frame")
表B：
B <- structure(list(start = structure(c(1542106440, 1542182400, 1542873600,
1543496640, 1543564800, 1543824000, 1543910400, 1543996800, 1544083200,
1544089620, 1544428800, 1544601600, 1544688000, 1544774400, 1544786340,
1545033600, 1545054300, 1545057660, 1545120000, 1545206400, 1545228420,
1545379200, 1546848000, 1546934400, 1547020800, 1547107200, 1547133780,
1547193600, 1547199420, 1547452800, 1547466240, 1547467800, 1547470800,
1547539200, 1547625600, 1547712000, 1547798400, 1547798400, 1548057600,
1548144000, 1548230400, 1548316800, 1548336660, 1548403200, 1548411300,
1548748800, 1548766800, 1548835200, 1548921600, 1549008000, 1549094400,
1549263600, 1549350000, 1549522800, 1549537740, 1549552500, 1549609200,
1549612740, 1549695600, 1549707360, 1549712700, 1549868400, 1549868400,
1549880220, 1549884180, 1549892700, 1549954800, 1549954860, 1549971480,
1549989000, 1550041200, 1550041200, 1550127600, 1550156040, 1550214000,
1550242800, 1550300400, 1550337720, 1550473200, 1550484720, 1550501340,
1550559600, 1550566440, 1550569020, 1550646000, 1550732400, 1550742780,
1550743560, 1550770920, 1550818800, 1550818800, 1550823660, 1550844000,
1550905200, 1550905920, 1550910060, 1550916120, 1550917200, 1551078000,
1551099720, 1551164400, 1551250800, 1551337200, 1551342420, 1551363960,
1551423600, 1551423600, 1551432720, 1551440940, 1551445320, 1551448080,
1551510000, 1551682800, 1551769200, 1551775500, 1551795420, 1551855600,
1551858720, 1551893460, 1551895200, 1551940020, 1551978600, 1552028400,
1552028400, 1552114800, 1552114800, 1552287600, 1552374000, 1552398240,
1552460400, 1552546800, 1552583400, 1552633200, 1552644120, 1552719600,
1552892400, 1552898160, 1552909440, 1552978800, 1552988040, 1553065200,
1553074140, 1553075400, 1553082780, 1553092260, 1553151600, 1553238000,
1553243820, 1553265180, 1553265660, 1553324400, 1553324400, 1553333820,
1553346000, 1553349660, 1553497200, 1553583600, 1553613840, 1553670000,
1553678640, 1553682300, 1553756400, 1553774340, 1553842800, 1553843040,
1553842800, 1553876820, 1553878380, 1553929200, 1553959260, 1554102000,
1554188400, 1554202500, 1554274800, 1554361200, 1554371760, 1554385560,
1554447600, 1554459960, 1554534000, 1554534000, 1554542520, 1554543300,
1554560880, 1554706800, 1554742380, 1554793200, 1554826740, 1554879600,
1554889260, 1554918060), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
end = structure(c(1542126600, 1542213000, 1542904200, 1543509000,
1543595400, 1543854600, 1543941000, 1544027400, 1544089620,
1544106600, 1544459400, 1544632200, 1544718780, 1544787000,
1544805000, 1545054300, 1545057900, 1545064200, 1545150600,
1545228000, 1545237000, 1545409800, 1546878600, 1546965000,
1547051400, 1547134200, 1547137800, 1547200200, 1547224260,
1547466300, 1547470800, 1547471400, 1547483400, 1547569800,
1547656200, 1547742600, 1547799420, 1547829000, 1548088200,
1548174600, 1548261000, 1548336600, 1548347400, 1548411300,
1548433800, 1548756900, 1548779400, 1548865800, 1548952200,
1549038600, 1549125000, 1549306800, 1549393440, 1549538100,
1549553100, 1549566000, 1549614600, 1549652400, 1549738920,
1549712700, 1549738800, 1549893660, 1549880400, 1549911600,
1549885200, 1549911600, 1549972800, 1549989000, 1549998300,
1549998360, 1550084460, 1550050500, 1550156400, 1550170800,
1550242800, 1550257200, 1550338200, 1550343600, 1550485800,
1550503800, 1550516400, 1550602800, 1550568900, 1550569200,
1550689200, 1550776020, 1550743620, 1550770800, 1550775600,
1550862300, 1550823300, 1550842800, 1550862000, 1550916000,
1550910000, 1550916000, 1550948640, 1550919600, 1551099600,
1551121200, 1551207600, 1551294000, 1551365100, 1551380580,
1551380460, 1551445200, 1551430800, 1551447600, 1551440940,
1551466800, 1551466800, 1551553740, 1551726000, 1551796200,
1551812400, 1551812400, 1551895200, 1551895200, 1551898800,
1551898800, 1551978600, 1551985200, 1552071600, 1552071600,
1552114800, 1552146300, 1552330800, 1552398780, 1552417200,
1552503600, 1552583400, 1552590000, 1552645200, 1552676400,
1552762800, 1552899600, 1552910220, 1552935600, 1552988400,
1553022000, 1553108400, 1553075400, 1553083200, 1553092200,
1553108400, 1553194800, 1553281200, 1553281200, 1553265600,
1553273400, 1553367600, 1553333400, 1553346000, 1553349540,
1553367600, 1553540400, 1553614200, 1553626800, 1553713200,
1553682000, 1553713200, 1553799600, 1553799600, 1553880600,
1553851800, 1553876700, 1553886000, 1553886000, 1553959800,
1553972400, 1554145200, 1554203700, 1554231600, 1554318000,
1554372900, 1554385560, 1554404400, 1554490800, 1554490800,
1554577200, 1554542100, 1554543000, 1554561000, 1554577200,
1554743700, 1554748200, 1554827400, 1554836400, 1554890400,
1554920100, 1554922800), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
id = c(1900L, 1900L, 1900L, 1903L, 1903L, 1903L, 1903L, 1903L,
1900L, 1903L, 1905L, 1905L, 1901L, 1905L, 1904L, 1904L, 1904L,
1902L, 1902L, 1902L, 1902L, 1905L, 1905L, 1905L, 1905L, 1905L,
1906L, 1902L, 1902L, 1902L, 1909L, 1910L, 1910L, 1910L, 1907L,
1907L, 1905L, 1907L, 1912L, 1912L, 1912L, 1912L, 1921L, 1921L,
1907L, 1902L, 1950L, 1950L, 1920L, 1920L, 1915L, 1950L, 1950L,
1920L, 1924L, 1924L, 1950L, 1950L, 1950L, 1950L, 1912L, 1950L,
1912L, 1950L, 1915L, 1950L, 1950L, 1950L, 1958L, 1905L, 1924L,
1905L, 1924L, 1972L, 1970L, 1958L, 1958L, 1958L, 1958L, 1955L,
1913L, 1924L, 1958L, 1913L, 1924L, 1913L, 1915L, 1913L, 1915L,
1935L, 1915L, 1913L, 1920L, 1953L, 1920L, 1972L, 1943L, 1958L,
1930L, 1972L, 1930L, 1930L, 1943L, 1915L, 1913L, 1913L, 3316L,
1913L, 3316L, 1960L, 1924L, 1960L, 1972L, 1935L, 1924L, 1924L,
1924L, 1950L, 1973L, 1930L, 1973L, 1972L, 1960L, 1915L, 1960L,
1915L, 1978L, 1978L, 1978L, 1928L, 1960L, 1915L, 1960L, 1940L,
1940L, 1978L, 1978L, 1978L, 1978L, 1928L, 1928L, 1960L, 1940L,
1958L, 1960L, 1928L, 1962L, 1960L, 1935L, 1930L, 1962L, 1960L,
1960L, 1958L, 1943L, 1928L, 1928L, 1928L, 1926L, 1960L, 1950L,
1980L, 1950L, 1962L, 1980L, 1910L, 1910L, 1980L, 1980L, 1915L,
1926L, 1926L, 1978L, 1978L, 1954L, 1987L, 1987L, 1987L, 1926L,
1987L, 1935L, 1973L, 1972L, 1924L, 1972L, 1907L, 1932L, 1932L,
1932L, 1978L, 1970L)), row.names = c(NA, -191L), class = "data.frame")
大家，这是时区。您对dput（）的正确原始数据的请求带来了时区，我意识到我将tableA设置为正确的时区，但tableB设置为不同的时区。我所要做的就是使用lubridate :: force_tz（）来解决问题，sqldf和fuzzyjoin解决方案都运行得很好。
我之前应该想到这一点，特别是当我得到的唯一比赛略微错位时。
再次感谢您指点我更精确的方向。
有几个问题：
ORDER BY b.rowid以与B行相同的顺序对其进行排序，则可以省略ORDER BY子句。
library(sqldf)
ans <- sqldf("SELECT a.*, b.id
FROM A as a
LEFT JOIN B as b ON a.dt between b.start and b.end
ORDER BY a.rowid")
可重复形式的数据：
LinesA <- "WEIGHT dt
894 18/12/2018 11:51
946 18/12/2018 11:52
907 14/02/2019 11:53
921 25/02/2019 10:52
866 25/02/2019 10:53
1021 25/02/2019 18:07
1022 25/02/2019 18:09
1032 25/02/2019 18:12
979 25/02/2019 18:16
1097 25/02/2019 18:19
1094 25/02/2019 18:23
880 26/02/2019 10:58
866 26/02/2019 11:00
876 26/02/2019 11:01
876 26/02/2019 11:01
861 26/02/2019 11:04
869 26/02/2019 11:06
890 26/02/2019 11:07
759 26/02/2019 11:10
813 26/02/2019 11:11
845 26/02/2019 11:30
989 26/02/2019 12:15
894 26/02/2019 15:00
963 26/02/2019 15:01
928 26/02/2019 15:03
822 26/02/2019 15:11
906 26/02/2019 15:14
994 26/02/2019 15:32
1011 26/02/2019 15:34
1004 26/02/2019 16:59
996 26/02/2019 17:01
883 26/02/2019 17:03
942 26/02/2019 17:05
950 26/02/2019 17:07
1018 26/02/2019 17:27
1003 28/02/2019 9:34
1021 28/02/2019 9:38
984 28/02/2019 9:42
942 28/02/2019 9:45
1067 28/02/2019 9:50
1034 28/02/2019 9:53
1087 28/02/2019 9:56
1040 28/02/2019 10:00
1090 28/02/2019 10:10
1029 28/02/2019 10:31
1023 28/02/2019 10:36
1010 28/02/2019 10:38
1051 28/02/2019 10:41
988 28/02/2019 10:42
1100 28/02/2019 10:43
985 1/03/2019 11:21
924 1/03/2019 11:22
988 1/03/2019 11:27
1001 1/03/2019 11:30
994 1/03/2019 11:35
958 1/03/2019 11:46
960 1/03/2019 11:48
990 1/03/2019 11:51
995 1/03/2019 11:52
928 1/03/2019 13:14
925 1/03/2019 13:16
1052 1/03/2019 13:18
1034 1/03/2019 13:27
1031 1/03/2019 13:28
944 1/03/2019 13:56
1038 1/03/2019 13:58
1056 1/03/2019 14:32
1050 1/03/2019 16:45
958 1/03/2019 17:33
1007 14/03/2019 14:19
985 14/03/2019 14:31
978 14/03/2019 14:35
1031 14/03/2019 14:56
976 14/03/2019 15:01
1063 14/03/2019 15:03
965 14/03/2019 15:06
1050 14/03/2019 15:07
894 14/03/2019 15:11
830 25/03/2019 11:14
920 25/03/2019 11:16
966 25/03/2019 11:18
992 25/03/2019 11:20
881 25/03/2019 11:21
823 25/03/2019 11:22
1046 25/03/2019 11:23
913 25/03/2019 11:24
885 25/03/2019 11:26
944 25/03/2019 11:28
938 25/03/2019 11:31
937 25/03/2019 11:36
937 25/03/2019 11:36
946 25/03/2019 11:40
985 25/03/2019 11:41
942 25/03/2019 11:45
1098 27/03/2019 6:58
1074 27/03/2019 6:59
1037 27/03/2019 7:02
1032 27/03/2019 7:03
1073 27/03/2019 7:08
1054 27/03/2019 7:09
996 27/03/2019 7:11
1081 27/03/2019 7:12
1010 27/03/2019 7:30
980 27/03/2019 7:38
1044 27/03/2019 7:54
1009 27/03/2019 7:58
963 27/03/2019 8:07
1047 27/03/2019 8:10
1114 27/03/2019 8:20
1110 27/03/2019 8:24
1009 27/03/2019 8:32
998 27/03/2019 11:49
1076 27/03/2019 17:48
1042 27/03/2019 17:51
1011 27/03/2019 17:53
1068 27/03/2019 17:54
1061 27/03/2019 17:58
1018 27/03/2019 17:59
1063 27/03/2019 18:00
1093 27/03/2019 18:00
1108 27/03/2019 18:01
1083 27/03/2019 18:03
1109 27/03/2019 18:05
1057 27/03/2019 18:06
1066 27/03/2019 18:07
1043 27/03/2019 18:08
1054 27/03/2019 18:09
1018 27/03/2019 18:11
1048 27/03/2019 18:12
1045 27/03/2019 18:13
1065 27/03/2019 18:18
1066 27/03/2019 18:19
1052 5/04/2019 13:50
1056 6/04/2019 16:43
1042 6/04/2019 16:43
1039 6/04/2019 16:49
954 6/04/2019 16:49
1015 6/04/2019 16:52
1009 6/04/2019 16:52
1026 6/04/2019 16:55
991 6/04/2019 16:56
1050 6/04/2019 17:13
1050 6/04/2019 17:13
934 6/04/2019 17:14
892 6/04/2019 17:23
1029 6/04/2019 17:26
1020 6/04/2019 17:29
1060 6/04/2019 17:32
1007 6/04/2019 17:35
989 6/04/2019 17:38
1006 6/04/2019 17:41
993 6/04/2019 17:45
1048 6/04/2019 17:52
1025 6/04/2019 17:57
1046 6/04/2019 18:21
988 6/04/2019 18:22
1024 8/04/2019 7:17
1076 8/04/2019 7:18
963 8/04/2019 7:19
1122 8/04/2019 7:20
1019 8/04/2019 7:21
1014 8/04/2019 7:22
907 8/04/2019 7:22
1033 8/04/2019 7:23
989 8/04/2019 7:25
1010 8/04/2019 7:26
1015 8/04/2019 7:27
979 8/04/2019 7:28
1018 8/04/2019 7:28
1054 8/04/2019 7:29
937 8/04/2019 7:31
918 8/04/2019 7:32
1054 8/04/2019 7:33
977 8/04/2019 7:34
1028 8/04/2019 7:35
942 8/04/2019 7:36
1009 8/04/2019 7:38
927 8/04/2019 7:39"
LinesB <- "start end id
13/11/2018 10:54 13/11/2018 16:30 1900
14/11/2018 8:00 14/11/2018 16:30 1900
22/11/2018 8:00 22/11/2018 16:30 1900
29/11/2018 13:04 29/11/2018 16:30 1903
30/11/2018 8:00 30/11/2018 16:30 1903
3/12/2018 8:00 3/12/2018 16:30 1903
4/12/2018 8:00 4/12/2018 16:30 1903
5/12/2018 8:00 5/12/2018 16:30 1903
6/12/2018 8:00 6/12/2018 9:47 1900
6/12/2018 9:47 6/12/2018 14:30 1903
10/12/2018 8:00 10/12/2018 16:30 1905
12/12/2018 8:00 12/12/2018 16:30 1905
13/12/2018 8:00 13/12/2018 16:33 1901
14/12/2018 8:00 14/12/2018 11:30 1905
14/12/2018 11:19 14/12/2018 16:30 1904
17/12/2018 8:00 17/12/2018 13:45 1904
17/12/2018 13:45 17/12/2018 14:45 1904
17/12/2018 14:41 17/12/2018 16:30 1902
18/12/2018 8:00 18/12/2018 16:30 1902
19/12/2018 8:00 19/12/2018 14:00 1902
19/12/2018 14:07 19/12/2018 16:30 1902
21/12/2018 8:00 21/12/2018 16:30 1905
7/01/2019 8:00 7/01/2019 16:30 1905
8/01/2019 8:00 8/01/2019 16:30 1905
9/01/2019 8:00 9/01/2019 16:30 1905
10/01/2019 8:00 10/01/2019 15:30 1905
10/01/2019 15:23 10/01/2019 16:30 1906
11/01/2019 8:00 11/01/2019 9:50 1902
11/01/2019 9:37 11/01/2019 16:31 1902
14/01/2019 8:00 14/01/2019 11:45 1902
14/01/2019 11:44 14/01/2019 13:00 1909
14/01/2019 12:10 14/01/2019 13:10 1910
14/01/2019 13:00 14/01/2019 16:30 1910
15/01/2019 8:00 15/01/2019 16:30 1910
16/01/2019 8:00 16/01/2019 16:30 1907
17/01/2019 8:00 17/01/2019 16:30 1907
18/01/2019 8:00 18/01/2019 8:17 1905
18/01/2019 8:00 18/01/2019 16:30 1907
21/01/2019 8:00 21/01/2019 16:30 1912
22/01/2019 8:00 22/01/2019 16:30 1912
23/01/2019 8:00 23/01/2019 16:30 1912
24/01/2019 8:00 24/01/2019 13:30 1912
24/01/2019 13:31 24/01/2019 16:30 1921
25/01/2019 8:00 25/01/2019 10:15 1921
25/01/2019 10:15 25/01/2019 16:30 1907
29/01/2019 8:00 29/01/2019 10:15 1902
29/01/2019 13:00 29/01/2019 16:30 1950
30/01/2019 8:00 30/01/2019 16:30 1950
31/01/2019 8:00 31/01/2019 16:30 1920
1/02/2019 8:00 1/02/2019 16:30 1920
2/02/2019 8:00 2/02/2019 16:30 1915
4/02/2019 7:00 4/02/2019 19:00 1950
5/02/2019 7:00 5/02/2019 19:04 1950
7/02/2019 7:00 7/02/2019 11:15 1920
7/02/2019 11:09 7/02/2019 15:25 1924
7/02/2019 15:15 7/02/2019 19:00 1924
8/02/2019 7:00 8/02/2019 8:30 1950
8/02/2019 7:59 8/02/2019 19:00 1950
9/02/2019 7:00 9/02/2019 19:02 1950
9/02/2019 10:16 9/02/2019 11:45 1950
9/02/2019 11:45 9/02/2019 19:00 1912
11/02/2019 7:00 11/02/2019 14:01 1950
11/02/2019 7:00 11/02/2019 10:20 1912
11/02/2019 10:17 11/02/2019 19:00 1950
11/02/2019 11:23 11/02/2019 11:40 1915
11/02/2019 13:45 11/02/2019 19:00 1950
12/02/2019 7:00 12/02/2019 12:00 1950
12/02/2019 7:01 12/02/2019 16:30 1950
12/02/2019 11:38 12/02/2019 19:05 1958
12/02/2019 16:30 12/02/2019 19:06 1905
13/02/2019 7:00 13/02/2019 19:01 1924
13/02/2019 7:00 13/02/2019 9:35 1905
14/02/2019 7:00 14/02/2019 15:00 1924
14/02/2019 14:54 14/02/2019 19:00 1972
15/02/2019 7:00 15/02/2019 15:00 1970
15/02/2019 15:00 15/02/2019 19:00 1958
16/02/2019 7:00 16/02/2019 17:30 1958
16/02/2019 17:22 16/02/2019 19:00 1958
18/02/2019 7:00 18/02/2019 10:30 1958
18/02/2019 10:12 18/02/2019 15:30 1955
18/02/2019 14:49 18/02/2019 19:00 1913
19/02/2019 7:00 19/02/2019 19:00 1924
19/02/2019 8:54 19/02/2019 9:35 1958
19/02/2019 9:37 19/02/2019 9:40 1913
20/02/2019 7:00 20/02/2019 19:00 1924
21/02/2019 7:00 21/02/2019 19:07 1913
21/02/2019 9:53 21/02/2019 10:07 1915
21/02/2019 10:06 21/02/2019 17:40 1913
21/02/2019 17:42 21/02/2019 19:00 1915
22/02/2019 7:00 22/02/2019 19:05 1935
22/02/2019 7:00 22/02/2019 8:15 1915
22/02/2019 8:21 22/02/2019 13:40 1913
22/02/2019 14:00 22/02/2019 19:00 1920
23/02/2019 7:00 23/02/2019 10:00 1953
23/02/2019 7:12 23/02/2019 8:20 1920
23/02/2019 8:21 23/02/2019 10:00 1972
23/02/2019 10:02 23/02/2019 19:04 1943
23/02/2019 10:20 23/02/2019 11:00 1958
25/02/2019 7:00 25/02/2019 13:00 1930
25/02/2019 13:02 25/02/2019 19:00 1972
26/02/2019 7:00 26/02/2019 19:00 1930
27/02/2019 7:00 27/02/2019 19:00 1930
28/02/2019 7:00 28/02/2019 14:45 1943
28/02/2019 8:27 28/02/2019 19:03 1915
28/02/2019 14:26 28/02/2019 19:01 1913
1/03/2019 7:00 1/03/2019 13:00 1913
1/03/2019 7:00 1/03/2019 9:00 3316
1/03/2019 9:32 1/03/2019 13:40 1913
1/03/2019 11:49 1/03/2019 11:49 3316
1/03/2019 13:02 1/03/2019 19:00 1960
1/03/2019 13:48 1/03/2019 19:00 1924
2/03/2019 7:00 2/03/2019 19:09 1960
4/03/2019 7:00 4/03/2019 19:00 1972
5/03/2019 7:00 5/03/2019 14:30 1935
5/03/2019 8:45 5/03/2019 19:00 1924
5/03/2019 14:17 5/03/2019 19:00 1924
6/03/2019 7:00 6/03/2019 18:00 1924
6/03/2019 7:52 6/03/2019 18:00 1950
6/03/2019 17:31 6/03/2019 19:00 1973
6/03/2019 18:00 6/03/2019 19:00 1930
7/03/2019 6:27 7/03/2019 17:10 1973
7/03/2019 17:10 7/03/2019 19:00 1972
8/03/2019 7:00 8/03/2019 19:00 1960
8/03/2019 7:00 8/03/2019 19:00 1915
9/03/2019 7:00 9/03/2019 7:00 1960
9/03/2019 7:00 9/03/2019 15:45 1915
11/03/2019 7:00 11/03/2019 19:00 1978
12/03/2019 7:00 12/03/2019 13:53 1978
12/03/2019 13:44 12/03/2019 19:00 1978
13/03/2019 7:00 13/03/2019 19:00 1928
14/03/2019 7:00 14/03/2019 17:10 1960
14/03/2019 17:10 14/03/2019 19:00 1915
15/03/2019 7:00 15/03/2019 10:20 1960
15/03/2019 10:02 15/03/2019 19:00 1940
16/03/2019 7:00 16/03/2019 19:00 1940
18/03/2019 7:00 18/03/2019 9:00 1978
18/03/2019 8:36 18/03/2019 11:57 1978
18/03/2019 11:44 18/03/2019 19:00 1978
19/03/2019 7:00 19/03/2019 9:40 1978
19/03/2019 9:34 19/03/2019 19:00 1928
20/03/2019 7:00 20/03/2019 19:00 1928
20/03/2019 9:29 20/03/2019 9:50 1960
20/03/2019 9:50 20/03/2019 12:00 1940
20/03/2019 11:53 20/03/2019 14:30 1958
20/03/2019 14:31 20/03/2019 19:00 1960
21/03/2019 7:00 21/03/2019 19:00 1928
22/03/2019 7:00 22/03/2019 19:00 1962
22/03/2019 8:37 22/03/2019 19:00 1960
22/03/2019 14:33 22/03/2019 14:40 1935
22/03/2019 14:41 22/03/2019 16:50 1930
23/03/2019 7:00 23/03/2019 19:00 1962
23/03/2019 7:00 23/03/2019 9:30 1960
23/03/2019 9:37 23/03/2019 13:00 1960
23/03/2019 13:00 23/03/2019 13:59 1958
23/03/2019 14:01 23/03/2019 19:00 1943
25/03/2019 7:00 25/03/2019 19:00 1928
26/03/2019 7:00 26/03/2019 15:30 1928
26/03/2019 15:24 26/03/2019 19:00 1928
27/03/2019 7:00 27/03/2019 19:00 1926
27/03/2019 9:24 27/03/2019 10:20 1960
27/03/2019 10:25 27/03/2019 19:00 1950
28/03/2019 7:00 28/03/2019 19:00 1980
28/03/2019 11:59 28/03/2019 19:00 1950
29/03/2019 7:00 29/03/2019 17:30 1962
29/03/2019 7:04 29/03/2019 9:30 1980
29/03/2019 7:00 29/03/2019 16:25 1910
29/03/2019 16:27 29/03/2019 19:00 1910
29/03/2019 16:53 29/03/2019 19:00 1980
30/03/2019 7:00 30/03/2019 15:30 1980
30/03/2019 15:21 30/03/2019 19:00 1915
1/04/2019 7:00 1/04/2019 19:00 1926
2/04/2019 7:00 2/04/2019 11:15 1926
2/04/2019 10:55 2/04/2019 19:00 1978
3/04/2019 7:00 3/04/2019 19:00 1978
4/04/2019 7:00 4/04/2019 10:15 1954
4/04/2019 9:56 4/04/2019 13:46 1987
4/04/2019 13:46 4/04/2019 19:00 1987
5/04/2019 7:00 5/04/2019 19:00 1987
5/04/2019 10:26 5/04/2019 19:00 1926
6/04/2019 7:00 6/04/2019 19:00 1987
6/04/2019 7:00 6/04/2019 9:15 1935
6/04/2019 9:22 6/04/2019 9:30 1973
6/04/2019 9:35 6/04/2019 14:30 1972
6/04/2019 14:28 6/04/2019 19:00 1924
8/04/2019 7:00 8/04/2019 17:15 1972
8/04/2019 16:53 8/04/2019 18:30 1907
9/04/2019 7:00 9/04/2019 16:30 1932
9/04/2019 16:19 9/04/2019 19:00 1932
10/04/2019 7:00 10/04/2019 10:00 1932
10/04/2019 9:41 10/04/2019 18:15 1978
10/04/2019 17:41 10/04/2019 19:00 1970"
fmt <- "%d/%m/%Y %H:%M"
A0 <- read.table(text = LinesA, skip = 1, strip.white = TRUE)
A <- data.frame(WEIGHT = A0$V1, dt = as.Date(paste(A0$V2, A0$V3), format = fmt))
B0 <- read.table(text = LinesB, skip = 1, strip.white = TRUE)
B <- data.frame(start = as.Date(paste(B0$V1, B0$V2), format = fmt),
end = as.Date(paste(B0$V3, B0$V4), format = fmt), id = B0$V5)