Summing one dimension of a multidimension wave with MartixOP

I believe you might get away with:

(edit: made it a complete function)

Awesome! And this solution is even Igor 6 compatible (without the layer() part). I do not fully understand how sumRows() works on a 3D wave (I assume it works on the two highest dimensions, in this case [columns] x [layers]?). Anyway. it works great and I learned something new. Thanks a lot!

chozo wrote:

I do not fully understand how sumRows() works on a 3D wave (I assume it works on the two highest dimensions, in this case [columns] x [layers]?).

As far as I understand SumCols, SumRows and SumBeams just sum the elements along x, y and z, respectively. For a 3D wave you'll end up with a single row (with z layers), a single column (with z layers, as in your case) or a single 2D layer.

The behavior of MatrixOp with respect to layers is described in the "Wave Parameters" section of the voluminous MatrixOP help topic:

"MatrixOp was designed to work with 2D waves (matrices), but also works with 1D, 3D and 4D waves. A 1D wave is treated like a 1-column matrix. 3D and 4D waves are treated on a layer-by-layer basis, as if each layer were a matrix."

Yes, the MatrixOP help sooner or later will be its own book, I guess. I probably tripped over the the function names and the direction of rows and columns in a table vs. in a graph. In the end, sumRows() is the sum of all column values in each row, just like shown in the formula. I would have called this one rather sumCols() instead, i.e., a 'sum of columns'. Anyway, now I understand and all is fine. I will try to use MatrixOP as more and more replacement for loopy wave assignments in the future, so this helps a lot.

Choosing the right terms is often tricky. I think you can justify the SumRows name if you think of it as "sum along rows".