Find median position points of duration events
I have the following vector A:
A = [34 35 36 5 6 7 78 79 7 9 10 80 81 82 84 85 86 102 3 4 6 103 104 105 106 8 11 107 201 12 202 203 204];
For n = 2
, I counted the elements larger or equal to 15 within A
:
D = cellfun(@numel, regexp(char((A>=15)+'0'), [repmat('0',1,n) '+'], 'split'));
The above expression gives the following output as duration values:
D = [3 2 7 4 6] = [A(1:3) **stop** A(7:8) **stop** A(12:18) **stop** A(22:25) **stop** A(28:33)];
The above algorithm computes the duration values by counting the elements larger or equal to 15. The counting also allows less than 2 consecutive elements smaller than 15 ( n = 2
). The counter stops when there are 2 or more consecutive elements smaller than 15 and starts over at the next substring within A
.
Eventually, I want a way to find the median position points of the duration events A(1:3)
, A(7:8)
, A(12:18)
, A(22:25)
and A(28:33)
, which are correctly computed. The result should look like this:
a1 = round(median(A(1:3))) = 2;
a2 = round(median(A(7:8))) = 8;
a3 = round(median(A(12:18))) = 15;
a4 = round(median(A(22:25))) = 24;
a5 = round(median(A(28:33))) = 31;
I edited the question to make it more clear, because the solution that was provided here assigns the last number within the row of 2 or more consecutive numbers smaller than 15 (3 in this case) after A(1:3)
to the next substring A(7:8)
and the same with the other substrings, therefore generating wrong duration values and in consequence wrong median position points of the duration events when n = 2
or for any given even n
.
Anyone has any idea how to achieve this?
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