How to efficiently combined cell array vectors with different length into a matrix, filling the vectors to max length with 0s or NaNs? It would be a nice option for cell2mat().
For example, if I have
C = {1:3; 1:5; 1:4};
I'd like to get either
M = [1 2 3 0 0
1 2 3 4 5
1 2 3 4 0];
or
M = [1 2 3 NaN NaN
1 2 3 4 5
1 2 3 4 NaN];
For a cell of row vectors as in your case, this will pad vectors with zeros to form a matrix
out=cell2mat(cellfun(@(x)cat(2,x,zeros(1,maxLength-length(x))),C,'UniformOutput',false))
out =
1 2 3 0 0
1 2 3 4 5
1 2 3 4 0
A similar question was asked earlier today, and although the question was worded slightly differently, my answer basically does what you want.
Copying the relevant parts here, a cell of uneven column vectors can be zero padded into a matrix as:
out=cell2mat(cellfun(@(x)cat(1,x,zeros(maxLength-length(x),1)),C,'UniformOutput',false));
where maxLength is assumed to be known. In your case, you have row vectors, which is just a slight modification from this.
If maxLength is not known, you can get it as
maxLength=max(cellfun(@(x)numel(x),C));