Assign Value to Multiply Indexed Range

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Bård Skaflestad
Bård Skaflestad 2019 年 7 月 16 日
コメント済み: Bård Skaflestad 2019 年 7 月 16 日
Suppose control is an m-element one-dimensional structure array such that each element contains another n-element one-dimensional structure array W, with a scalar (specifically, LOGICAL) field status. As a simple example consider the synthetic construction
control = repmat(struct('W', struct('status', { false, true, true, false, true })), [1, 5])
In other words, the expression
control(i).W(j).status
is valid for all i=1:5 and all j=1:4.
My question is if there is an easy way of assigning W(3).status for all i=3:5 (i.e., a specific j value for a subset of the i range) without using the obvious loop
for i = 3:5, control(i).W(3).status = false; end
I didn't see a good way of persuading deal to do this.
Note: I'm perfectly willing to change my data structure if that's what it takes to simplify the task. Maybe turning W into a matrix is the right choice here (e.g., [control.W(3:5,2).status] = deal(false)). In my general case, though, the number of W elements might be different for each value of i.

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Bruno Luong
Bruno Luong 2019 年 7 月 16 日
編集済み: Bruno Luong 2019 年 7 月 16 日
You might store in a table, which by design put the two variables/row dimensions to the same level; so you can index them either way.
The struct as you built is hierachical. The advantage is you can put scatted length data in the nested j-level. But it prevents user to assign the same nest index for subset of outer index.
c = repmat({[false;true;true;false;true]},1,5)
ControlStatus = table(c{:})
Assign
i = 3:5;
j = 3;
ControlStatus(j,i) = repmat({false},size(i))
  1 件のコメント
Bård Skaflestad
Bård Skaflestad 2019 年 7 月 16 日
> You might store in a table, which by design put the two variables/row dimensions to the same level; so you can index them either way.
Hm, that's an interesting thought. I haven't really used tables much, but this might be a good opportunity to learn and experiment with them.
> The struct as you built is hierachical. The advantage is you can put scatted length data in the nested j-level.
Truth be told, that was the original reason for using the hierarchical structure.
> But it prevents user to assign the same nest index for subset of outer index.
Absolutely, and that's the problem I'm running into now. I think it's a good time to rethink the greater task from the ground up. Thanks for the hint!

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