/usr/share/octave/packages/statistics-1.2.3/hist3.m is in octave-statistics 1.2.3-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 | ## Copyright (C) 2007 Roman Stanchak
##
## This file is part of Octave.
##
## Octave is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2, or (at your option)
## any later version.
##
## Octave is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with Octave; see the file COPYING. If not, write to the Free
## Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
## 02110-1301, USA.
## -*- texinfo -*-
## @deftypefn {Function File} hist3(@var{X})
## @deftypefnx {Function File} hist3(@var{X}, @var{nbins})
## @deftypefnx {Function File} hist3(@var{X}, 'Nbins', @var{nbins})
## @deftypefnx {Function File} hist3(@var{X}, @var{centers})
## @deftypefnx {Function File} hist3(@var{X}, 'Centers', @var{centers})
## @deftypefnx {Function File} hist3(@var{X}, 'Edges', @var{edges})
## @deftypefnx {Function File} {@var{N} =} hist3(@var{X}, ...)
## @deftypefnx {Function File} {[@var{N}, @var{C}] =} hist3(@var{X}, ...)
## Plots a 2D histogram of the N x 2 matrix @var{X} with 10 equally spaced
## bins in both the x and y direction using the @code{mesh} function
##
## The number of equally spaced bins to compute histogram can be specified with
## @var{nbins}. If @var{nbins} is a 2 element vector, use the two values as the
## number of bins in the x and y axis, respectively, otherwise, use the same
## value for each.
##
## The centers of the histogram bins can be specified with @var{centers}.
## @var{centers} should be a cell array containing two arrays of the bin
## centers on the x and y axis, respectively.
##
## The edges of the histogram bins can be specified with @var{edges}.
## @var{edges} should be a cell array containing two arrays of the bin edges
## on the x and y axis, respectively.
##
## @var{N} returns the 2D array of bin counts, and does not plot the
## histogram
##
## @var{N} and @var{C} returns the 2D array of bin counts in @var{N} and the
## bin centers in the 2 element cell array @var{C}, and does not plot the
## histogram
##
## @seealso{hist, mesh}
## @end deftypefn
## Authors: Paul Kienzle (segments borrowed from hist2d),
## Roman Stanchak (addition of matlab compatible syntax, bin edge arg)
function varargout = hist3(varargin)
methods={'Nbins', 'Centers', 'Edges'};
method=1;
xbins=10;
ybins=10;
edges={};
M=varargin{1};
if nargin>=2,
% is a binning method is specified?
if isstr(varargin{2}),
method = find(strcmp(methods,varargin{2}));
if isempty(method),
error('Unknown property string');
elseif nargin < 3,
error('Expected an additional argument');
elseif method==2,
xbins = varargin{3}{1};
ybins = varargin{3}{2};
elseif method==3
edges = varargin{3};
end
elseif iscell(varargin{2}) % second argument contains centers
method = 2;
xbins = varargin{2}{1};
ybins = varargin{2}{2};
elseif isscalar(varargin{2}),
xbins = ybins = varargin{2};
elseif isvector(varargin{2}), % second argument contain number of bins
xbins = varargin{2}(1);
ybins = varargin{2}(2);
else
error('Unsupported type for 2nd argument');
end
end
% If n bins, find centers based on n+1 bin edges
if method==1,
lo = min(M);
hi = max(M);
if isscalar(xbins)
xbins = linspace(lo(1),hi(1),xbins+1);
xbins = (xbins(1:end-1)+xbins(2:end))/2;
end
if isscalar(ybins)
ybins = linspace(lo(2),hi(2),ybins+1);
ybins = (ybins(1:end-1)+ybins(2:end))/2;
end
method=2;
end
if method==2,
% centers specified, compute edges
xcut = (xbins(1:end-1)+xbins(2:end))/2;
ycut = (ybins(1:end-1)+ybins(2:end))/2;
xidx = lookup(xcut,M(:,1))+1;
yidx = lookup(ycut,M(:,2))+1;
else,
% edges specified. Filter points outside edge range
xidx = lookup(edges{1},M(:,1));
yidx = lookup(edges{2},M(:,2));
idx = find(xidx>0);
idx = intersect(idx, find(xidx<length(edges{1})));
idx = intersect(idx, find(yidx>0));
idx = intersect(idx, find(yidx<length(edges{2})));
xidx=xidx(idx);
yidx=yidx(idx);
% compute centers for plotting
xbins = (edges{1}(1:end-1)+edges{1}(2:end))/2;
ybins = (edges{2}(1:end-1)+edges{2}(2:end))/2;
end
counts = sparse(yidx,xidx,1,length(ybins), length(xbins), 'sum');
if nargout
varargout{1} = full(counts);
if nargout>1
varargout{2} = {xbins,ybins};
end
else
mesh(xbins,ybins,full(counts));
end
end
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