R中日期和时间之间的两个数据帧的合并
数据框-1
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"6/13/2017 8:45", "6/13/2017 8:45", "6/13/2017 8:46", "6/13/2017 8:46", "6/13/2017 8:46", "6/13/2017 8:46", "6/13/2017 8:46", "6/13/2017 8:47", "6/13/2017 8:47", "6/13/2017 8:47", "6/13/2017 8:47", "6/13/2017 8:47", "6/13/2017 8:47", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:48", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:49", "6/13/2017 8:50", "6/13/2017 8:50", "6/13/2017 8:50", "6/13/2017 8:50", "6/13/2017 8:50", "6/13/2017 8:50", "6/13/2017 8:51", "6/13/2017 8:51", "6/13/2017 8:51", "6/13/2017 8:51", "6/13/2017 8:51", "6/13/2017 8:51", "6/13/2017 8:52", "6/13/2017 8:52", "6/13/2017 8:52", "6/13/2017 8:52", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:53", "6/13/2017 8:54", "6/13/2017 8:54", "6/13/2017 8:54", "6/13/2017 8:54", "6/13/2017 8:54", "6/13/2017 8:54", "6/13/2017 8:55", "6/13/2017 8:55", "6/13/2017 8:55", "6/13/2017 8:55", "6/13/2017 8:55", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:56", "6/13/2017 8:57", "6/13/2017 8:57", "6/13/2017 8:57", "6/13/2017 8:57", "6/13/2017 8:57", "6/13/2017 8:58", "6/13/2017 8:58", "6/13/2017 8:58", "6/13/2017 8:58", "6/13/2017 8:58", "6/13/2017 8:58", "6/13/2017 8:59", "6/13/2017 8:59", "6/13/2017 8:59", "6/13/2017 8:59", "6/13/2017 8:59", "6/13/2017 8:59", "6/13/2017 8:59", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:00", "6/13/2017 9:01", "6/13/2017 9:01", "6/13/2017 9:01", "6/13/2017 9:01", "6/13/2017 9:01")
Value=c(108, 108, 109, 106, 108, 107, 104, 108, 111, 108, 110, 109, 108, 108, 107, 104, 107, 107, 105, 104, 108, 110, 109, 111, 113, 114, 112, 112, 112, 111, 110, 112, 112, 112, 112, 111, 109, 108, 109, 111, 112, 111, 109, 108, 107, 108, 111, 110, 109, 109, 109, 109, 110, 113, 114, 111, 105, 100, 101, 102, 105, 103, 100, 99, 99, 99, 98, 97, 97, 95, 94, 92, 92, 91, 89, 89, 88, 87, 89, 87, 88, 89, 92, 94, 96, 97, 98, 97, 96, 95, 95, 95, 98, 98, 98, 98, 97, 96, 95, 95, 95, 95, 95, 94, 93, 92, 93, 92, 91, 91, 89, 88, 87, 86, 84, 83, 82, 81, 82, 84, 88, 89, 91, 88, 89, 92, 90, 88, 89, 90, 92, 93, 94, 96, 97, 98, 97, 98, 97, 97, 98, 92, 93, 94, 95, 98, 100, 98, 93, 95, 96, 97, 98, 95, 97, 98, 99, 103, 106, 109, 110, 114, 116, 121, 118, 117, 116, 115, 114, 111, 109, 109, 109, 109, 110, 109, 110, 112, 113, 115, 115, 116, 116, 112, 112, 115, 117, 118, 117, 117, 116, 113, 114, 112, 113, 109, 109, 109, 109, 109, 108, 108, 109, 110, 109, 104, 105, 102, 99, 97, 96, 94, 92, 91, 90, 88, 86, 86, 85, 85, 84, 84, 82, 82, 81, 80, 80, 78, 78, 77, 76, 75, 75, 77, 79, 82, 83, 85, 85, 86, 83, 82, 72, 73, 73, 82, 72, 73, 73, 73, 73, 71, 72, 73, 74, 76, 76, 76, 75, 74, 73, 73, 74, 74, 75, 74, 74, 75, 76, 77, 77, 77, 78, 78, 76, 75,
75, 75, 83, 82, 80, 80, 81, 82, 83, 84, 82, 80, 81, 81, 81, 81, 81, 81, 80, 80, 80, 79, 79, 78, 78, 79, 78, 79, 79, 81, 80, 80, 79, 78, 77, 78, 81, 81, 80, 80, 79, 79, 81, 80, 80, 79, 78, 78, 76, 73, 72, 73, 75, 74, 73, 74, 75, 75, 75, 75, 75, 76, 76, 76, 76, 75, 70, 72, 73, 73, 73, 74, 74, 72, 71, 72, 73, 72, 73, 72, 72, 71, 72, 73, 72, 73, 72, 69, 66, 65, 77, 80, 79, 79, 81, 80, 79, 79, 79, 79, 79, 78, 76, 75, 76, 74, 75, 76, 76, 75, 75, 75, 74, 74, 74, 74, 75, 74, 74, 73, 72, 73, 73, 73, 75, 74, 74, 74, 73, 74, 73, 72, 72, 72, 72, 73, 73, 75, 77, 78, 78, 77, 77, 76, 75, 76, 75, 73, 72, 72, 71, 71, 71, 70, 71, 72, 71, 71, 72, 72, 72, 71, 72, 72, 72, 71, 70, 70, 71, 71, 71, 71, 71, 71, 73, 72, 72, 71, 70, 71, 70, 71, 71, 70, 70, 71, 72, 72, 72, 71, 72, 71, 72, 73, 72, 71, 72, 73, 73, 73, 73, 73, 73, 73, 74, 74, 75, 76, 76, 77, 78, 78, 78, 80, 84, 85, 86, 88, 89, 89, 89, 90, 91, 92, 94, 94, 95, 97, 99, 99, 99, 98, 96, 95, 93, 93, 96, 98, 100, 100, 101, 102, 101, 104, 104, 103, 102, 106, 106, 105, 102, 102, 102, 101, 101, 101, 100, 100, 100, 100, 102, 103, 105, 105, 105, 105, 105, 104, 104, 102, 102, 101, 101, 100, 99, 99, 98, 98, 99, 98, 99, 99, 99, 99, 99, 98, 97, 97, 97, 93, 91, 87, 85, 85, 85, 85, 84, 82, 82, 82, 81, 81, 80, 80, 79, 79, 79, 79, 79, 79, 79, 64, 63, 63, 62, 62,
61, 62, 60, 59, 58, 57, 57, 57, 57, 58, 61, 61, 61, 60, 61, 60, 59, 60, 61, 63, 65, 67, 70, 71, 72, 73, 75, 75, 77, 78, 80, 82, 82, 82, 83, 84, 85, 86, 90, 93, 95, 96, 101, 96, 97, 98, 99, 100, 105, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 116, 112, 107, 107, 107, 106, 105, 104, 101, 101, 101, 100, 97, 97, 91,
90, 89, 89, 89, 89, 88, 88, 87, 86, 83, 82, 79, 76, 76, 76, 75, 75, 75, 74, 75, 74, 74, 74, 73, 73, 74, 73, 73, 74, 73, 73, 73, 73, 72, 72, 73, 72, 72, 72, 72, 72, 71, 72, 72, 71, 71, 71, 71, 70, 69, 69, 68, 67, 67, 67, 68, 69, 70, 68, 68, 60, 60, 61, 62, 63, 64, 65, 66, 68, 69, 71, 69, 69, 68, 67, 68, 66, 66, 66, 67, 68, 66, 66, 66, 67, 67, 65, 64, 62, 64, 64, 65, 64, 64, 64, 64, 65, 66, 66, 67, 67, 67, 68, 66, 65, 64, 63, 63, 69, 69, 68, 67, 65, 64, 63, 63, 64, 64, 64, 65, 66, 66, 67, 67, 68, 68, 70, 71, 70, 67, 66, 66, 66, 66, 66, 66, 67, 68, 67, 67, 66, 65, 65, 65, 66, 67, 68, 69, 69, 69, 69, 69, 69, 69, 69, 69, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 75, 75, 75, 75, 75, 75, 75, 75, 76, 77, 76, 76, 71, 69, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 67, 67, 67, 67, 69, 69, 70, 70, 69, 70, 70, 70, 71, 71, 71, 71, 71, 70, 70, 70, 70, 66, 65, 64, 63, 63, 63, 63, 63, 63, 62, 63, 64, 67, 68, 68, 68, 67, 66, 66, 67, 69, 71, 74, 77, 78, 80, 82, 85, 87, 89, 91, 92, 94, 95, 95, 97, 98, 98, 96, 95, 94, 92, 91, 89, 86, 86, 85, 82, 81, 82, 80, 80, 80, 80, 78, 77, 76, 76, 80, 80, 78, 77, 76, 76, 76, 76, 72, 71, 70, 69, 69, 68, 68, 68, 68, 69, 70, 71, 71, 72, 73, 73, 73, 73, 73, 73, 73, 73, 74, 74, 74, 74, 74, 76, 77, 78, 78, 79, 76, 76, 78, 78, 79, 81, 83, 83, 85, 84, 84, 85, 84, 84, 84, 85, 85, 85)
df=data.frame(DT=Date_Time , Value =Value)
数据框-2
Date_Time1 <-c("2017-06-13T01:39:00", "2017-06-13T02:17:00", "2017-06-13T02:23:00", "2017-06-13T02:30:00", "2017-06-13T03:19:00", "2017-06-13T04:54:00", "2017-06-13T21:48:00", "2017-06-13T21:48:30", "2017-06-13T21:51:00", "2017-06-13T21:56:30", "2017-06-13T22:01:00", "2017-06-13T22:03:30", "2017-06-13T22:11:00", "2017-06-13T22:12:00", "2017-06-13T22:27:00", "2017-06-13T22:35:00", "2017-06-13T22:50:00", "2017-06-13T23:02:30", "2017-06-13T23:18:30", "2017-06-13T23:46:00")
sl <-c("sleep", "sleep", "sleep", "sleep", "sleep", "sleep", "wake", "sleep", "sleep", "wake", "sleep", "wake", "sleep", "sleep", "sleep", "sleep", "sleep", "wake", "sleep", "sleep")
seconds <- c(1290, 360, 420, 2940, 5700, 330, 180, 480, 1200, 270, 150, 510, 60, 3000, 480, 900, 750, 960, 1650, 2340)
df1=data.frame(DT1=Date_Time1 , s1 =sl , seconds = seconds)
描述
这里我们有两个数据框df和df1
df 有两列，即Date Time＆amp; values
第二个数据框df1包含date_time1列，s1＆amp; seconds。
预期输出
在sl df1列Mean and median & Standard Deviation的基础上，我们需要来自Value的{{1}}列df基于睡眠和唤醒，如下所示。
详细信息说明：我们希望从数据框Values计算列df的平均值和中位数Date and time df1列出in between date and Time {1}}数据框{1}}。由于日期和时间不完全匹配，因此df简而言之In Between Time we need to identify the at time of sleep or awake是什么。
0 个答案:
没有答案
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