How can I select data of an specific hour of each day on a time series sampled every 5 minutes ?

I have my data in a table and separated in two columns. The first colum is a datetime column that contains the date and the time of each day of a year for data sampled every 5 minutes (f example: 01-Jan-2014 00:05:00 , 01-Jan-2014 00:10:00 ... 31-Dec-2014 23:55:00) and in the second column I have my Temperature data. With the groupsummary function I have managed to calculate hourly, daily, monthly and yearly means specifying "hour", "day" or "month" on the input arguments but now, I would like to know if I can choose with this function (or with any other) the data of an specific hour of each day, for example, the temperature data of each day at 2:00 am to compare it with the data of a satelite obtaining the 365 temperature values of every single day at 2:00 am of the year.

Thanks for your time.

[Siddharth Bhutiya]

I dont see a way to do this directly, but you can use subscripting to get the desired subset and then use groupsummary on the subset timetable

>> head(tt)
             dt               Temp  
    ____________________    ________

    01-Jan-2014 00:00:00     0.21896
    01-Jan-2014 01:00:00    0.047045
    01-Jan-2014 02:00:00     0.67886
    01-Jan-2014 03:00:00      0.6793
    01-Jan-2014 04:00:00     0.93469
    01-Jan-2014 05:00:00      0.3835
    01-Jan-2014 06:00:00     0.51942
    01-Jan-2014 07:00:00     0.83097
    
>> tt2am = tt(hour(tt.dt) == 2,:);
>> head(tt2am)
             dt              Temp  
    ____________________    _______

    01-Jan-2014 02:00:00    0.67886
    02-Jan-2014 02:00:00     0.7622
    03-Jan-2014 02:00:00    0.16651
    04-Jan-2014 02:00:00     0.7702
    05-Jan-2014 02:00:00    0.17833
    06-Jan-2014 02:00:00    0.23991
    07-Jan-2014 02:00:00     0.9611
    08-Jan-2014 02:00:00    0.36534
    
>> groupsummary(tt2am,'Temp')

ans =

  365×2 table

      Temp       GroupCount
    _________    __________

    0.0004036        1     
    0.0016643        1     
     0.012213        1     
     0.015499        1     
     0.018916        1     
     0.022251        1     
     0.022677        1     
     0.026834        1     
      0.03004        1     
     0.030504        1 

[Victor Martinez]

Thank you for your help Siddarth, it worked perfectly !

Actually with your code I got all the temperature values of each day between 2:00:00 am to 2:55:00 but I applied again the same code to the new variable tt2am specifying now minutes equal to zero (tt2am = tt2am(minute(tt2am.dt) == 0,:) and I have now a table with the temperature data of each day at 2:00 am exactly which is just what I was looking for.