X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fnan-2.5.5%2Frms.m;fp=octave_packages%2Fnan-2.5.5%2Frms.m;h=29fd06b83b3eef81351d92463db0b788c28c344d;hp=0000000000000000000000000000000000000000;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hpb=1705066eceaaea976f010f669ce8e972f3734b05

diff --git a/octave_packages/nan-2.5.5/rms.m b/octave_packages/nan-2.5.5/rms.m
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+function o=rms(x,DIM,W)
+% RMS calculates the root mean square
+%   can deal with complex data. 
+%
+% y = rms(x,DIM,W)
+%
+% DIM	dimension
+%	1 STD of columns
+%	2 STD of rows
+% 	N STD of  N-th dimension 
+%	default or []: first DIMENSION, with more than 1 element
+% W	weights to compute weighted s.d. (default: [])
+%	if W=[], all weights are 1. 
+%	number of elements in W must match size(x,DIM) 
+%
+% y	estimated standard deviation
+%
+% features:
+% - can deal with NaN's (missing values)
+% - weighting of data 
+% - dimension argument also in Octave
+% - compatible to Matlab and Octave
+%
+% see also: SUMSKIPNAN, MEAN
+
+
+%    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 2 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/>.
+
+
+%	$Id: rms.m 8223 2011-04-20 09:16:06Z schloegl $
+%	Copyright (C) 2000-2003,2008,2009 by Alois Schloegl <alois.schloegl@gmail.com>
+%       This function is part of the NaN-toolbox
+%       http://pub.ist.ac.at/~schloegl/matlab/NaN/
+
+
+if nargin<2,
+	[o,N,ssq] = sumskipnan(x);
+elseif nargin<3
+	[o,N,ssq] = sumskipnan(x,DIM);
+else
+	[o,N,ssq] = sumskipnan(x,DIM,W);
+end;
+
+o = sqrt(ssq./N);
+   
+   
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