Effacer les filtres
Effacer les filtres

Mean value of a subarray

5 vues (au cours des 30 derniers jours)
EldaEbrithil
EldaEbrithil le 22 Août 2020
Commenté : EldaEbrithil le 22 Août 2020
Hi all
i have an array V=1x115 i want to create another array which contains the mean value neatly of the first 8 V values than of the subsequent 8 and so on... in pratical terms: mean(V(1:8)), mean(V(8:16)),...mean(V(112:end))
Thank you for the help
Regards
  2 commentaires
Adam Danz
Adam Danz le 22 Août 2020
Modifié(e) : Adam Danz le 22 Août 2020
1:8 contains 8 values.
8:16 contains 9 values.
If you meant to write 1:8 and 8:15 (each containing 8 values), see my answer.
If you meant to write 1:8, 9:16 (each containing 8-values), see the link at the top of my answer.
If your window sizes vary, you'll need to explain your problem with more detail.
EldaEbrithil
EldaEbrithil le 22 Août 2020
Thank you Adam
I solved the problem thanks to your upper link, now i understand the logic for the moving average
Regards

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Réponse acceptée

Adam Danz
Adam Danz le 22 Août 2020
Modifié(e) : Adam Danz le 22 Août 2020
The answer in this link computes segmented averages as you describe except instead of averaging 1:8, 8:15, ... , it averages 1:8, 9:16, ..., .
Solution
To replicate the edges, you just have to add three line.
The full solutions is shown in this demo.
data = 1:22; % Demo data
winSz = 5; % Window size; winSz=5 results in indices of (1:5, 5:9, 9:13, ...)
replications = repmat([2;ones(winSz-2,1)],ceil(numel(data)/(winSz-1)),1);
dataPrep = repelem(data(:),replications(1:numel(data)));
dataPrep(1) = []; % do not duplicate 1st datapoint
% Reshape dataPrep into matrix.
% NOTE: 'dataPrep' must contain a number of element divisibly by 'winSz'.
% Otherwise, 'dataPrep' will be padded with NaN values so that it is
% divisible by 'winSz'.
if rem(numel(dataPrep),winSz)>0
nanAppend = nan(winSz - rem(numel(dataPrep),winSz),1);
else
nanAppend = [];
end
dataMat = reshape([dataPrep; nanAppend], winSz, []);
movingAverage = mean(dataMat,1,'Omitnan');
Results
The original data:
data =
Columns 1 through 20
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Columns 21 through 22
21 22
The blocked version where means are computed over each column
dataMat =
1 5 9 13 17 21
2 6 10 14 18 22
3 7 11 15 19 NaN
4 8 12 16 20 NaN
5 9 13 17 21 NaN
The means (within a 5-element window)
movingAverage =
3 7 11 15 19 21.5
  3 commentaires
Adam Danz
Adam Danz le 22 Août 2020
Modifié(e) : Adam Danz le 22 Août 2020
Socially distant high five!
EldaEbrithil
EldaEbrithil le 22 Août 2020
Ahahah xD

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