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Take the nanmean of every four points in a dataset.

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I have a data set of 109 points, each point repesents 15min. I need to get hourly averages of this data set which also contains nans as well as the time attached with it. Any help would be much appreciated.
%% so far:
st_time=datenum('23-May-2017 09:15:00');
t=st_time+(0:1/27.25):(length(East)-1)*1/27.25);
ADV_time_avg=st_time+(0:1/227.25):(length(East)-1)*1/27.25);
Flux4 = Flux3;
means5 = nanmean(Flux4, 2);
for i = 1:length(Flux4)
hourav(i) = nanmean
end

回答(1 个)

per isakson
per isakson 2018-12-5
编辑:per isakson 2018-12-5
"I need to get hourly averages of this [15-min] data set which also contains nans"
Old time approach
%%
data_set = randn(109,1); % sample data
%%
data_set(end) = []; % multiple of 4
%%
m4 = reshape( data_set, 4,[] );
%%
avg = nanmean( m4, 1 );
%%
hourly_data_set = reshape( avg, [],1 );
However, I assume that using timetable is a better approach.

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