for jj = 1:numberOfFields
fld = sprintf('file_%d',jj);
for ii = 1:n_lines
g(ii,:) = data.(fld).maximum(ii,:);
end
...
end
But this is a complex way to store and access your data. Accessing the fieldnames like this, and the required conversion from numeric to char, just makes your code more complex and slows down your code: a much simpler and more efficient way to design your data would be to use a non-scalar structure, then you can simply use indexing directly and efficiently:
for jj = 1:numberOfFields
for ii = 1:n_lines
g(ii,:) = data.file(jj).maximum(ii,:);
end
...
end
And probably avoiding using nested structures altogether would be a better way to design your data:
for jj = 1:numel(data)
data(jj).maximum
data(jj).file
data(jj).data
end
then you could simplify the code that accesses the data, by doing things like this:
g = vertcat(data.maximum)
and you will get all of the maximum matrices concatenated into one numeric array, without any loops or slow dynamic fieldnames. Better data design makes code simpler and more efficient.
