Sample evenly-ish vector of unevenly distributed indices

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Ouatehaouks
Ouatehaouks 2021-12-10
编辑： Matt J 2021-12-10
Say I have a vector of indices
v = [v1 v2 v3 v4 v5] = [1 34 456 1345 4567]
I try to find a way to sample v in an evenly-ish way while keepking these points. Is there a quick way to do that instead of a loop over every range between two points [v_i v_j], I have numerous and long vectors...
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Voss
Voss 2021-12-10
How about this:
vnew = min(v):max(v);
Now, as long as v contains only integer values, all elements of v are in vnew. And diff(vnew) is all 1s, so the difference is as constant as it can get.
Does that work?
Ouatehaouks
Ouatehaouks 2021-12-10
Thanks for your answer. The thing is that the indices can be very large, so I want to refine v but not down to delta=1.

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Matt J
Matt J 2021-12-10
编辑：Matt J 2021-12-10
Perhaps as follows,
vnew = union( min(v):delta:max(v) ,v);
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Ouatehaouks
Ouatehaouks 2021-12-10
Sorry I don't know how to accept the correct answer which is in your last comment.
Matt J
Matt J 2021-12-10
编辑：Matt J 2021-12-10
No problem. Our whole chain of comments is considered part of the "Answer".

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