find multiple words in a cell
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Hi, is there a way to compare and return a number for the matching words in two unequal cells?
A={'a','a','a','b','b','d'} B={'a','b','c','d','e','f','g','h'}
return C=3,2,0,1,0,0,0,0
Thank you
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Matt J
2013-1-9
If the "words" will really always be single letters, you could do it looplessly with
>> histc([A{:}], [B{:}])
ans =
3 2 0 1 0 0 0 0
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Matt J
2013-1-9
编辑:Matt J
2013-1-9
And, although this is a new question, I feel that it is not far away for the initial question which I dont see why should require a new post
It doesn't require it, but if you post it as a new question, people have the opportunity to gain points from answering you (now that you've already accepted Ryan's answer), and so will be more incentivized to do so.
Jan
2013-1-10
编辑:Jan
2013-1-10
The decision is easy:
New question, new thread.
And:
Additional information to an existing question is added by editing the question and marking the changes by "[EDITED]". Then this is clarification and *not* a new question.
Hiding important information in deeply nested comments to already accepted questions is a bad idea.
Daniel Shub
2013-1-9
I am sure that this is over thinking the solution and I doubt that using regexp is optimal, but I was curious how bad it would be.
x = regexp(A, cell2mat(cellfun(@(x)['(?<', x, '>', x, ')|'], B, 'UniformOutput', false)), 'names');
cellfun(@(x)length([y.(x)]), fieldnames([x{:}]))'
I is there a better way to do this with regexp?
Jan
2013-1-10
[EDITED, Jan, moved from comments to the accepted question]
ISMEMBER sorts the inputs and performs a binary search. This can be much faster and much slower than an unsorted comparison by:
cellfun(@(x)sum(strcmp(A, x)), B)
I claim without a proof, that a loop is faster:
R = zeros(1, numel(B));
for iB = 1:numel(B)
R(iB) = sum(strcmp(A, B{iB}));
end
[EDITED 2] And if you want to compare the leading character(s) only:
...
R(iB) = sum(strncmp(A, B{iB}, length(B{iB}));
...
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