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Hello all.

Hopfully you all stay well and safe.

I have Temperature, CO2, RH and Rid measured each 5 minutes interval for about 36 days, (from 09/04/2020 to 14/05/2020) about 10080 rows in total. From these data I need to calculate the hourly average value for these measured Temperature, CO2, RH and Rid which means that eventually I must have 24 hourly averaged values per day.

I would appreciate any ideas on the matter!

I have attached the excel file I'm working on.

Regards

Walter Mabry
on 11 Feb 2021

Edited: Walter Mabry
on 11 Feb 2021

The loop below breaks up you time stamps into hours and creates a new vector with the mean value for each hour of the provided data.

Temp = data1(:,4);

i = 12:12:840;

for k = 1:length(i)

DailyAvg(k) = mean(Temp((i(k)-11):i(k)));

end

Cris LaPierre
on 11 Feb 2021

Use groupsummary. I suggest combining your dates and times into a single datetime varlable to make this easier.

opts = detectImportOptions("Gadelhagdata.xlsx","Range",'A:K');

opts = setvartype(opts,"time","duration");

opts = setvaropts(opts,"time","InputFormat","hh:mm:ss");

data = readtable("Gadelhagdata.xlsx",opts);

% combine data and time

data.date = data.date + data.time;

data.time = [];

hrAvg = groupsummary(data,"date","hour","mean")

Sean de Wolski
on 11 Feb 2021

Read it in as a timetable readtimetable then call retime which does exactly what you want.

t = readtimetable('yourfile')

fiveminutemean = retime(t, 'Regular', 'mean', 'TimeStep', minutes(5))

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