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index array using boolean array

Given "y" as an N-element array of doubles randomized using a normal distribution, the following is true.

 

In MatLab (R2014a) you can do this:

 

is_gt_zero = (y>0)
y_subset = y[is_gt_zero]

 

and get an array comprised of the positive elements of "y".

 

In "R" you can do this:

is_gt_zero <- which(y>0, arr.ind=F)
y_subset <- y(is_gt_zero)

and get the same. 

 

LabView has the "In Range and Coerce" vi.  It gives a boolean array, but I am not finding boolean indexing. I really don't like nesting for loops.  Is there a way to not do that?

Do I need to wrap a for loop around the boolean array and look for true indices, or is there a cleaner way to do boolean-driven indexing?

 

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Try something like this.

 

Snap2.png

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A simple FOR loop with conditional autoindexing tunnel should do the trick for you.


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