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function [n, edges] = histcounts (x, edges, varargin)
%HISTCOUNTS Bin counts for explicit edges (MATLAB R2014b+).
%
% An owuitools compatibility shim; see contains.m for the policy.
%
% Explicit edges only, and that limit is the whole point: MATLAB's
% automatic binning picks the number of bins by a documented but
% non-trivial rule, and a shim that guessed a different one would hand
% back a different histogram without anyone noticing. Called without
% edges, this says so instead.
%
% Edge convention, which is where histcounts and the older `histc`
% differ and why this is not a one-line alias: bin i is
% [edges(i), edges(i+1)) and the LAST bin is closed, so a value exactly
% on the final edge lands in the last bin rather than in one of its own.
if (nargin < 1)
error ('histcounts: not enough input arguments');
end
if (nargin < 2 || ~isnumeric (edges) || isscalar (edges))
error (['histcounts: this sandbox supports histcounts(x, edges) with explicit ' ...
'edges only. MATLAB''s automatic bin selection is not reproduced here - ' ...
'choose the edges, e.g. histcounts(x, linspace(min(x), max(x), 11)), and ' ...
'keep whatever form you want in the code you hand over.']);
end
if (~isempty (varargin))
error ('histcounts: this shim takes only (x, edges) - no name/value options');
end
if (~isnumeric (x) && ~islogical (x))
error ('histcounts: x must be numeric');
end
edges = edges(:).';
if (numel (edges) < 2 || any (diff (edges) <= 0))
error ('histcounts: edges must be a vector of at least two increasing values');
end
v = double (x(:));
v = v(~isnan (v));
n = zeros (1, numel (edges) - 1);
for i = 1:numel (n)
if (i < numel (n))
n(i) = sum (v >= edges(i) & v < edges(i + 1));
else
n(i) = sum (v >= edges(i) & v <= edges(i + 1));
end
end
end