/usr/share/octave/packages/3.2/nan-2.4.4/ecdf.m is in octave-nan 2.4.4-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | function [F,X]=ecdf(h,Y)
% ECDF empirical cumulative function
% NaN's are considered Missing values and are ignored.
%
% [F,X] = ecdf(Y)
% calculates empirical cumulative distribution functions (i.e Kaplan-Meier estimate)
% ecdf(Y)
% ecdf(gca,Y)
% without output arguments plots the empirical cdf, in axis gca.
%
% Y input data
% must be a vector or matrix, in case Y is a matrix, the ecdf for every column is computed.
%
% see also: HISTO2, HISTO3, PERCENTILE, QUANTILE
% $Id: ecdf.m 8223 2011-04-20 09:16:06Z schloegl $
% Copyright (C) 2009,2010 by Alois Schloegl <alois.schloegl@gmail.com>
% This function is part of the NaN-toolbox
% http://pub.ist.ac.at/~schloegl/matlab/NaN/
% This program 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 3 of the License, or
% (at your option) any later version.
%
% This program 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 this program; If not, see <http://www.gnu.org/licenses/>.
if ~isscalar(h) || ~ishandle(h) || isstruct(h),
Y = h;
h = [];
end;
DIM = [];
SW = isstruct(Y);
if SW, SW = isfield(Y,'datatype'); end;
if SW, SW = strcmp(Y.datatype,'HISTOGRAM'); end;
if SW,
[yr,yc]=size(Y.H);
if ~isfield(Y,'N');
Y.N = sum(Y.H,1);
end;
f = [zeros(1,yc);cumsum(Y.H,1)];
for k=1:yc,
f(:,k)=f(:,k)/Y.N(k);
end;
t = [Y.X(1,:);Y.X];
elseif isnumeric(Y),
sz = size(Y);
if isempty(DIM),
DIM = min(find(sz>1));
if isempty(DIM), DIM = 1; end;
end;
if DIM==2, Y=Y.'; DIM = 1; end;
t = sort(Y,1);
t = [t(1,:);t];
N = sum(~isnan(Y),1);
f = zeros(size(Y,1)+1,size(Y,2));
for k=1:size(Y,2),
f(:,k)=[0:size(Y,1)]'/N(k);
end;
end;
if nargout<1,
if ~isempty(h), axes(h); end;
stairs(t,f);
else
F = f;
X = t;
end;
|