Group making from large data size
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How to make group of 10 row and mean of those 10 rows, then to calculate fluctuation of each gruop member from their corresponding mean, variance of each group.
suppose :
%data resolution 1 min; so 10 row indicates 10 minute ; we can observe those properties for each 10 min in this case
All_data = rand(100,3); %100 row and 3 column
time_min = All_data(:,1); % column 1
Vx = All_data(:,2); %column 2
Now I need to
- make group of 10 data
- mean of those 10 data
- fluctuation = Vx(i) - mean(Vx(for each group)) % within that group
- variance of that group
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Réponses (2)
David Hill
le 21 Avr 2022
a=rand(100,3);
b=zeros(10,3,10);
for k=1:10
b(:,:,k)=a(10*(k-1)+1:10*k,:);%10 groups
end
%not sure what you want for mean, fluctuation, or variance. You will need
%to explain further.
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Image Analyst
le 21 Avr 2022
Sounds like homework. Hints:
groupNumbers = repelem(1:10, 10);
Now use either splitapply(), groupsummary(), or grpstats() to get the stats on the 10 groups separately.
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