Apply function to two cell arrays element-wise

I have two cell arrays, xdata and CDF. I want to apply kstest element-wise to each pair of xdata and CDF cells (e.g., xdata{1} and CDF{1}, xdata{2} and CDF{2}, etc.).
Each cell of xdata is nx1 (data sample values), and each cell of CDF ix nx2 (theoretical [x,CDF] values).
I can do this with a for loop:
for i=1:length(xdata)
[h{i},p{i},ks2stat{i}]=kstest(xdata{i},CDF{i});
end
But I'm wondering if there's a clever way to do it more cleanly with anonymous functions and cellfun? Something along the lines of:
[h,p,ks2stat]=deal(cellfun(@(xc) kstest(xc(:,1),xc(:,2:3)),{[xdata CDF]},'Uniform',0));
Any ideas would be appreciated. Thanks!

 Accepted Answer

You're overcomplicating:
[h, p, k2stat] = cellfun(@kstest, xdata, CDF, 'UniformOutput', false);

3 Comments

You're right, I was definitely overcomplicating. Thank you! Although I should just mention this actually only seems to work if you add curly brackets around the structure names:
[h, p, k2stat] = cellfun(@kstest, {xdata}, {CDF}, 'UniformOutput', false);
Otherwise it spits an error saying input #2 expected to be a cell array, was double instead.
"I have two cell arrays, xdata and CDF"
input #2 expected to be a cell array, was double instead
One of these statement contradicts the other.
Putting brackets around the inputs is very unlikely to be the correct fix. It would only work if both xdata and CDF were matrices, not cell array and would then be simply equivalent to:
[h, p, k2stat] = ktest(xdata, CDF);
h = {h}; p = {p}; k2stat = {k2stat}; %useless stuffing of the results in cell arrays
And if xdata and CDF were really structures then your code would certainly error. Be careful with the terms you use. cell arrays, matrices, structures, tables (another term often misused) are very different types.
Oops, sorry, you're right. I was simplifying the problem to explain it here and forgot I was referencing structures in the real version. You're correct, the way you originally wrote it does work if xdata and CDF are cell arrays. Thank you and sorry for the confusion!

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