How can I split two side-by-side vectors into many individual vector pairs?

I have several 10368x1 vectors, of which each of the 10368 pieces represents a value at a different location on a map. I would like to put two of them at a time side-by-side, and split them horizontally into 10368 separate 2x1 vectors, such that:
M = [ 1 3 5 7 9 ]
N = [ 0 2 4 6 8 ]
WANT:
MN1 = [ 1 0 ]
MN2 = [ 3 2 ]
MN3 = [ 5 4 ]
MN4 = [ 7 6 ]
MN5 = [ 9 8 ]
The end result should be a pair of different values at each location. Here's the kicker: since some of these vectors include NaN values, and I don't want to misplace any of the associated locations in the vectors, I would also like to return NaN values as placeholders for any incomplete pair of data, such that:
M = [ 1 3 NaN 7 9 ]
N = [ 0 2 4 6 NaN ]
WANT:
MN1 = [ 1 0 ]
MN2 = [ 3 2 ]
MN3 = NaN
MN4 = [ 7 6 ]
MN5 = NaN
How can I do this?

 Akzeptierte Antwort

M = [ 1 3 NaN 7 9 ];
N = [ 0 2 4 6 NaN ];
idx=any(isnan([M;N]));
out=arrayfun(@(x,y) [x y],M,N,'un',0) ;
out(idx)={nan}

6 Kommentare

That gives me a logical answer, not a vector answer; I need the actual values. When I used that, I got 10368 instances of "[1x2 double]", so it's close, but it seems like your code is simply telling me that the answers are 1x2 doubles, rather than giving me the values.
You can check the values
celldisp(out)
You should read about cell array
help cell
If you want the first element
out{1}
Thank you, I understand now.
How can I create a cell array without removing the NaN values?
Please see my new question. I have the cell array, but I need to perform a K-means analysis, and it is not working. I thought leaving the NaN values in might solve that problem, as the internal code for K-means in MATLAB automatically takes NaN values out of the equation, but I still have no luck.

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