I am trying to replace a use of the old hist function by the new histcounts which performs faster at binning and counting than hist. However, I am struggling to achieve the exact same results from histcounts that I got from hist.
I am aware that histcounts returns the bin edges rather than the binCenters. However, the counts should be identical and the bin edges should be convertible to bin centers, as far as I understand.
This small piece of code illustrates my problem.
A = randn(100,2);
[N1,binCenters1] = hist(A(:,1),10);
[N2,binEdges2] = histcounts(A(:,1),10);
binCenters2 = mean([binEdges2(1:end-1);binEdges2(2:end)]);
N = [N1;N2;abs(N1-N2)];
binCenters = [binCenters1;binCenters2;abs(binCenters1-binCenters2)];