Take the nanmean of every four points in a dataset.

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 

Answer 1

[per isakson]

"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.