gusucode.com > bigdata 工具箱 matlab源码程序 > bigdata/@tall/histcounts.m
function varargout = histcounts(tallX, varargin) %HISTCOUNTS Histogram Bin Counts. % Supported syntaxes for tall X: % [N,EDGES] = HISTCOUNTS(X) % [N,EDGES] = HISTCOUNTS(X,M) % [N,EDGES] = HISTCOUNTS(X,EDGES) % [N,EDGES] = HISTCOUNTS(...,'BinWidth',BW) % [N,EDGES] = HISTCOUNTS(...,'BinLimits',[BMIN,BMAX]) % [N,EDGES] = HISTCOUNTS(...,'Normalization',NM) % [N,EDGES] = HISTCOUNTS(...,'BinMethod',BM) - BM can be 'auto' (default), % 'scott', 'integers', 'sturges', 'sqrt' % [N,EDGES,BIN] = HISTCOUNTS(...) also returns an index array BIN % % Supported syntaxes for tall categorical C: % N = HISTCOUNTS(C) % N = HISTCOUNTS(C, CATEGORIES) % N = HISTCOUNTS(...,'Normalization',NM) % [N,CATEGORIES] = HISTCOUNTS(...) % % See also HISTCOUNTS, CATEGORICAL/HISTCOUNTS % Copyright 2016 The MathWorks, Inc. tallX = tall.validateType(tallX, mfilename, {'numeric', 'logical', 'categorical'}, 1); checkNotTall(upper(mfilename), 1, varargin{:}); if isequal(tallX.Adaptor.Class, 'categorical') nargoutchk(0,2); [varargout{1:max(nargout,1)}] = histcountsCategorical(tallX, varargin{:}); else nargoutchk(0,3); tallX = lazyValidate(tallX, {@isreal, 'MATLAB:bigdata:array:ArgMustBeTallReal', 1, mfilename}); [varargout{1:max(nargout,1)}] = histcountsData(tallX, varargin{:}); end end