--- /dev/null
+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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