I have a 1-by-4 cell array, D
. Each of the cell elements contains 2-by-2 double matrices. I want to do random permutation over each matrix independently which in result I will have the same size cell array as D
but its matrices' elements will be permuted and then the inverse in order to obtain the original D
again.
for a single matrix case I have the code and it works well as follows:
A=rand(3,3)
p=randperm(numel(A));
A(:)=A(p)
[p1,ind]=sort(p);
A(:)=A(ind)
but it doesn't work for a cell array.
The simplest solution for you is to use a loop:
nd = numel(D);
D_permuted{1,nd} = [];
D_ind{1,nd} = [];
for d = 1:nd)
A=D{d};
p=randperm(numel(A));
A(:)=A(p)
[~,ind]=sort(p);
D_permuted{d} = A;
D_ind{d} = ind;
end
Assuming your D
matrix is just a list of identically sized (e.g. 2-by-2) matrices, then you could avoid the loop by using a 3D double matrix instead of the cell-array.
For example if you hade a D
like this:
n = 5;
D = repmat([1,3;2,4],1,1,n)*10 %// Example data
Then you can do the permutation like this
m = 2*2; %// Here m is the product of the dimensions of each matrix you want to shuffle
[~,I] = sort(rand(m,n)); %// This is just a trick to get the equivalent of a vectorized form of randperm as unfortunately randperm only accepts scalars
idx = reshape(I,2,2,n);
D_shuffled = D(idx);