X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;ds=sidebyside;f=octave_packages%2Fnan-2.5.5%2Fsem.m;fp=octave_packages%2Fnan-2.5.5%2Fsem.m;h=479f5e7f354aaeaa51505b052f64e07361ed4281;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hp=0000000000000000000000000000000000000000;hpb=1705066eceaaea976f010f669ce8e972f3734b05;p=CreaPhase.git

diff --git a/octave_packages/nan-2.5.5/sem.m b/octave_packages/nan-2.5.5/sem.m
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+function [SE,M]=sem(x,DIM, W)
+% SEM calculates the standard error of the mean
+% 
+% [SE,M] = SEM(x [, DIM [,W]])
+%   calculates the standard error (SE) in dimension DIM
+%   the default DIM is the first non-single dimension
+%   M returns the mean. 
+%   Can deal with complex data, too. 
+%
+% DIM	dimension
+%	1: SEM of columns
+%	2: SEM of rows
+% 	N: SEM of  N-th dimension 
+%	default or []: first DIMENSION, with more than 1 element
+% W	weights to compute weighted mean and s.d. (default: [])
+%	if W=[], all weights are 1. 
+%	number of elements in W must match size(x,DIM) 
+%
+% features:
+% - can deal with NaN's (missing values)
+% - weighting of data 
+% - dimension argument 
+% - compatible to Matlab and Octave
+%
+% see also: SUMSKIPNAN, MEAN, VAR, STD
+
+%    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/>.
+
+%	Copyright (C) 2000-2003,2008,2009 by Alois Schloegl <alois.schloegl@gmail.com>	
+%	$Id: sem.m 8223 2011-04-20 09:16:06Z schloegl $
+%       This function is part of the NaN-toolbox
+%       http://pub.ist.ac.at/~schloegl/matlab/NaN/
+
+
+if nargin>2,
+	[S,N,SSQ] = sumskipnan(x,DIM,W);
+elseif nargin>1,
+	[S,N,SSQ] = sumskipnan(x,DIM);
+else    
+	[S,N,SSQ] = sumskipnan(x);
+end
+
+M  = S./N;
+SE = (SSQ.*N - real(S).^2 - imag(S).^2)./(N.*N.*(N-1)); 
+SE(SE<=0) = 0; 	% prevent negative value caused by round-off error  
+SE = sqrt(real(SE));
+