Reputation: 1511
I have measured a handful of variables in 30 minute intervals. Time stamps are available in datevec
or datenum
format. I want to calculate ...
a) ... daily averages and
b) ... average values at time x
, e.g. temperature at 11:30, temperature at 12:00, etc. averaged over my whole dataset.
While this is, more or less, easily done with loops, I wonder if there is an easier / more convenient way to work with time-series, since this is a quite basic task after all?
/edit 1: As per request: click me for sample data
Upvotes: 3
Views: 2747
Reputation: 10676
Considering that datevec()
output is stored in tvec
and data in x
, group with unique(...,'rows')
and accumulate with accumarray()
:
% Group by day
[unDates, ~, subs] = unique(tvec(:,1:3),'rows');
% Accumulate by day
[unDates accumarray(subs, x, [], @mean)]
% Similarly by hour
[unHours, ~, subs] = unique(tvec(:,4:5),'rows');
[unHours accumarray(subs, x, [], @mean)]
Upvotes: 6