R 在计算时间间隔时维护日期时间戳

R 在计算时间间隔时维护日期时间戳,r,time,data.table,time-series,R,Time,Data.table,Time Series,我根据位置和传感器计算了日期和时间之间的时间间隔。以下是我的一些数据: datehour <- c("2016-03-24 20","2016-03-24 06","2016-03-24 18","2016-03-24 07","2016-03-24 16", "2016-03-24 09","2016-03-24 15","2016-03-24 09","2016-03-24 20","2016-03-24 05", "2016-03-25 21"

我根据位置和传感器计算了日期和时间之间的时间间隔。以下是我的一些数据:

datehour <- c("2016-03-24 20","2016-03-24 06","2016-03-24 18","2016-03-24 07","2016-03-24 16",
          "2016-03-24 09","2016-03-24 15","2016-03-24 09","2016-03-24 20","2016-03-24 05",
          "2016-03-25 21","2016-03-25 07","2016-03-25 19","2016-03-25 09","2016-03-25 12",
          "2016-03-25 07","2016-03-25 18","2016-03-25 08","2016-03-25 16","2016-03-25 09",
          "2016-03-26 20","2016-03-26 06","2016-03-26 18","2016-03-26 07","2016-03-26 16",
          "2016-03-26 09","2016-03-26 15","2016-03-26 09","2016-03-26 20","2016-03-26 05",
          "2016-03-27 21","2016-03-27 07","2016-03-27 19","2016-03-27 09","2016-03-27 12",
          "2016-03-27 07","2016-03-27 18","2016-03-27 08","2016-03-27 16","2016-03-27 09")
location <- c(1,1,2,2,3,3,4,4,"out","out",1,1,2,2,3,3,4,4,"out","out",
              1,1,2,2,3,3,4,4,"out","out",1,1,2,2,3,3,4,4,"out","out")
sensor <- c(1,16,1,16,1,16,1,16,1,16,1,16,1,16,1,16,1,16,1,16,
            1,16,1,16,1,16,1,16,1,16,1,16,1,16,1,16,1,16,1,16)
Temp <- c(35,34,92,42,21,47,37,42,63,12,35,34,92,42,21,47,37,42,63,12,
          35,34,92,42,21,47,37,42,63,12,35,34,92,42,21,47,37,42,63,12)
df <- data.frame(datehour,location,sensor,Temp)
我希望每个时差都有两个用来计算它的时间来识别它。我希望结果如下:

    location sensor        V1           datehour1           datehour2
  out     16 -28 hours 2016-03-24 05:00:00 2016-03-25 09:00:00
    1     16 -25 hours 2016-03-24 06:00:00 2016-03-25 07:00:00
    2     16 -26 hours 2016-03-24 07:00:00 2016-03-25 09:00:00
    3     16 -22 hours 2016-03-24 09:00:00 2016-03-25 07:00:00
    4     16 -23 hours 2016-03-24 09:00:00 2016-03-25 08:00:00
    4      1 -27 hours 2016-03-24 15:00:00 2016-03-25 18:00:00
    3      1 -20 hours 2016-03-24 16:00:00 2016-03-25 12:00:00
    2      1 -25 hours 2016-03-24 18:00:00 2016-03-25 19:00:00
    1      1 -25 hours 2016-03-24 20:00:00 2016-03-25 21:00:00
  out      1 -20 hours 2016-03-24 20:00:00 2016-03-25 16:00:00

好的,所以我不是data.tables解决方案方面的专家,因此我不太确定如何使用分组语句将值的数量解析为10

也就是说,如果你还没有用另一种方法解决这个问题,我认为你的问题的答案在于difftimedatehour[-lengthdatehour],datehour[-1],unit=hour代码块,而不是因为它计算的差异不正确,但在这方面,它阻止了分组语句解析为预期的组数

我尝试将分组与时差计算分离,并能够获得预期的输出,显然需要一些格式:

final.time.df <- setDT(df)[order(datehour, location, sensor), .(datehour1 = datehour[1], datehour2 = datehour[2]), .(location, sensor)]
final.time.df$diff = final.time.df$datehour1 - final.time.df$datehour2

如果我没有抓住要点,请随时告诉我,我会删除答案!我知道这不是一个特别有见地的答案,但看起来这可能会解决这个问题,我自己现在也遇到了一个问题,想尝试提供帮助。

我花了一点时间才回到这个问题上来。你的解决方案帮助我以不同的方式思考这个问题,并找到更好的解决方法。谢谢
final.time.df <- setDT(df)[order(datehour, location, sensor), .(datehour1 = datehour[1], datehour2 = datehour[2]), .(location, sensor)]
final.time.df$diff = final.time.df$datehour1 - final.time.df$datehour2