Divide table in days and then in hours.
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Hello everyone! I'm not very practical with matlab, so I hope that someone can help me. I have a big table [351496 x 5] that it contains 6 months of monitoring. Below the first five rows of my table.
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The first column is the categorical variable (they are the name of my PIR sensors) the last column (ColumnDateTime) is the date time array. I want to divide my table for days, so as to create daily subtables. then, every daily subtable I would divide it by hours, creating 4 additional tables (which correspond to the times of the day: morning, afternoon, evening, night). Then I would like to analyze if there are 2 PIR sensors that detect movements in two different rooms (the different rooms are recognized in the first column, through the names of the sensors) in a time <= to 2 seconds. Thanks in advance.
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Razvan Carbunescu
2018-6-26
Depending on the final goal here could use some of the functionality within groupsummary (If using R2018a) and findgroups / splitapply models to help achieve some of the final modeling.
>> groupsummary(tab,'t',hours(6),'mean','values')
ans =
12×3 table
disc_t GroupCount mean_values
____________________________________________ __________ ___________
[01-Jun-2018 00:00:00, 01-Jun-2018 06:00:00) 6 58.833
[01-Jun-2018 06:00:00, 01-Jun-2018 12:00:00) 6 61.167
[01-Jun-2018 12:00:00, 01-Jun-2018 18:00:00) 6 41.167
[01-Jun-2018 18:00:00, 02-Jun-2018 00:00:00) 6 56.5
[02-Jun-2018 00:00:00, 02-Jun-2018 06:00:00) 6 59.667
[02-Jun-2018 06:00:00, 02-Jun-2018 12:00:00) 6 42.167
[02-Jun-2018 12:00:00, 02-Jun-2018 18:00:00) 6 50.333
[02-Jun-2018 18:00:00, 03-Jun-2018 00:00:00) 6 30.667
[03-Jun-2018 00:00:00, 03-Jun-2018 06:00:00) 6 40
[03-Jun-2018 06:00:00, 03-Jun-2018 12:00:00) 6 43.833
[03-Jun-2018 12:00:00, 03-Jun-2018 18:00:00) 6 69.333
[03-Jun-2018 18:00:00, 04-Jun-2018 00:00:00] 6 62.167
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