/usr/share/octave/packages/3.2/nan-2.4.4/naninsttest.m is in octave-nan 2.4.4-1.
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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 | % NANINSTTEST checks whether the functions from NaN-toolbox have been
% correctly installed.
%
% see also: NANTEST
% $Id: naninsttest.m 8223 2011-04-20 09:16:06Z schloegl $
% Copyright (C) 2000-2003 by Alois Schloegl <alois.schloegl@gmail.com>
% This script 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/>.
r = zeros(38,2);
x = [5,NaN,0,1,nan];
% run test, k=1: with NaNs, k=2: all NaN's are removed
% the result of both should be the same.
%FLAG_WARNING = warning;
warning('off');
funlist = {'sumskipnan','mean','std','var','skewness','kurtosis','sem','median','mad','zscore','coefficient_of_variation','geomean','harmmean','meansq','moment','rms','','corrcoef','rankcorr','spearman','ranks','center','trimean','min','max','tpdf','tcdf','tinv','normpdf','normcdf','norminv','nansum','nanstd','histo_mex','sumskipnan_mex','covm_mex','svmtrain_mex','train','','','','','','','',''};
for k=1:2,
if k==2, x(isnan(x))=[]; end;
r(1,k) =sumskipnan(x(1));
r(2,k) =mean(x);
r(3,k) =std(x);
r(4,k) =var(x);
r(5,k) = skewness(x);
r(6,k) =kurtosis(x);
r(7,k) =sem(x);
r(8,k) =median(x);
r(9,k) =mad(x);
tmp = zscore(x);
r(10,k)=tmp(1);
if exist('coefficient_of_variation','file'),
r(11,k)=coefficient_of_variation(x);
end;
r(12,k)=geomean(x);
r(13,k)=harmmean(x);
if exist('meansq','file'),
r(14,k)=meansq(x);
end;
if exist('moment','file'),
r(15,k)=moment(x,6);
end;
if exist('rms','file'),
r(16,k)=rms(x);
end;
% r(17,k) is currently empty.
tmp=corrcoef(x',(1:length(x))');
r(18,k)=any(isnan(tmp(:)));
if exist('rankcorr','file'),
tmp=rankcorr(x',(1:length(x))');
r(19,k)=any(isnan(tmp(:)));
end;
if exist('spearman','file'),
tmp=spearman(x',(1:length(x))');
r(20,k)=any(isnan(tmp(:)));
end;
if exist('ranks','file'),
r(21,k)=any(isnan(ranks(x')))+k;
end;
if exist('center','file'),
tmp=center(x);
r(22,k)=tmp(1);
end;
if exist('trimean','file'),
r(23,k)=trimean(x);
end;
r(24,k)=min(x);
r(25,k)=max(x);
r(26,k) = k+isnan(tpdf(x(2),4));
try
r(27,k) = k*(~isnan(tcdf(nan,4)));
catch
r(27,k) = k;
end;
r(28,k) = k*(~isnan(tinv(NaN,4)));
if exist('normpdf','file'),
fun='normpdf';
elseif exist('normal_pdf','file'),
fun='normal_pdf';
end;
r(29,k) = (feval(fun,k,k,0)~=Inf)*k;
if exist('normcdf','file'),
fun='normcdf';
elseif exist('normal_cdf','file'),
fun='normal_cdf';
end;
r(30,k) = feval(fun,4,4,0);
if exist('norminv','file'),
fun='norminv';
elseif exist('normal_inv','file'),
fun='normal_inv';
end;
r(31,k) = k*any(isnan(feval(fun,[0,1],4,0)));
if exist('nansum','file'),
r(32,k)=k*isnan(nansum(nan));
end;
if exist('nanstd','file'),
r(33,k)=k*(~isnan(nanstd(0)));
end;
%%% check mex files
try
histo_mex([1:5]');
r(34,k)=0;
catch;
r(34,k)=k;
end;
try
sumskipnan_mex([1:5]');
r(35,k)=0;
catch;
r(35,k)=k;
end;
try
covm_mex([1:5]');
r(36,k)=0;
catch;
r(36,k)=k;
end;
if ~exist('svmtrain_mex','file'),
r(37,k)=k;
end;
if ~exist('train','file'),
r(38,k)=k;
end;
end;
% check if result is correct
tmp = abs(r(:,1)-r(:,2))<eps;
q = zeros(1,5);
% output
if all(tmp(1:32)) && all(~q),
fprintf(1,'NANINSTTEST successful - your NaN-tools are correctly installed\n');
if any(~tmp(34:38)),
fprintf(1,'Warning: the following mex-files are not (properly) compiled:\n');
for k=find(~tmp(34:38)'),
fprintf(1,' %s.mex \n',funlist{k+33});
end;
fprintf(1,'run \n mex -setup\n cd .../NaN/src\n make \n');
end;
else
fprintf(1,'NANINSTTEST %i not successful \n', find(~tmp));
fprintf(1,'The following functions contain a NaN-related bug:\n');
fprintf(1,' - %s\n',funlist{find(~tmp)});
fprintf(1,'Its recommended to install the NaN-toolbox.\n');
end;
%warning(FLAG_WARNING);
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