Reputation: 539
In Matlab I have a structure AVG
of size 1 x 6
which has one field averageNEST
that is a cell array also of size 1 x 6
.
Each averageNEST
contains matrices of varying sizes (in one dimension), so for example
AVG(1).averageNEST{1,1}
is of size 281 x 3 x 19
and
AVG(1).averageNEST{1,2}
is of size 231 x 3 x 19
The 2nd and 3rd dimensions of the matrices are always 3 and 19, it is only the first dimension that can change.
I want to average over all the matrices contained within AVG(1).averageNEST
and obtain one matrix of size X x 3 x 19
where X is the size of the smallest matrix in AVG(1).averageNEST
.
Then I want to do this for all 6 averageNEST
in AVG
- so have a separate averaged matrix for AVG(1), AVG(2) ... AVG(6)
.
I have tried multiple things including trying to concatenate matrices using the following code:
for i=1:6
min_epoch = epoch + 1;
for ii=1:19
averageNEST(:,:,ii) = [AVG(i).averageNEST(1:min_epoch,:,ii)];
end
end
and then average this but it doesn't work and now I'm really confused about what I'm doing!
Can anyone help?
Upvotes: 0
Views: 120
Reputation: 96
I am not sure if I understand what you want to do. If you want to keep only the elements up to the size of the the smallest matrix and then average those matrices you can do the following:
averageNEST = cell(size(AVG));
for iAVG = 1:numel(AVG)
nests = AVG(iAVG).averageNEST;
minsize = min(cellfun(@(x) size(x,1), nests));
reducednests = cellfun(@(y) y(1:minsize, :, :), nests, 'UniformOutput', false);
averageNEST{iAVG} = sum(cat(4, reducednests{:}), 4) / numel(nests);
end
Upvotes: 0