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// Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
// Copyright (C) 1999 - INRIA - Carlos Klimann
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
//
function m=msd(x,orien)
//
//This function computes the mean squared deviation of the values of a
//vector or matrix x.
//
//For a vector or a matrix x, m=msd(x) returns in the scalar y the mean
//squared deviation of all the entries of x.
//
//m=msd(x,'r') (or, equivalently, m=msd(x,1)) is the rowwise mean
//squared deviation. It returns in each entry of the row vector y the
//mean squared deviation of each column of x.
//
//m=msd(x,'c') (or, equivalently, m=msd(x,2)) is the columnwise mean
//squared deviation. It returns in each entry of the column vector y the
//mean squared deviation of each row of x.
//
//Reference: Wonacott T.H.& Wonacott R.J. .- Introductory Statistics,
//5th edition, John Wiley, 1990.
//
//
rhs=argn(2)
if rhs==0 then error(msprintf(gettext("%s: Wrong number of input argument: At least %d expected.\n"),"msd",1)), end
if x==[] then s=%nan, return, end
if rhs==1 then orien='*',end
if orien=='*' then
m=sqrt(sum((x-mean(x)).^2)/size(x,orien));
elseif orien=='c'|orien==2 then
m=sqrt(sum((x-mean(x,orien)*ones(x(1,:))).^2,orien)/size(x,orien));
elseif orien=='r'|orien==1 then
m=sqrt(sum((x-ones(x(:,1))*mean(x,orien)).^2,orien)/size(x,orien));
else
error(msprintf(gettext("%s: Wrong value for input argument #%d: ''%s'', ''%s'', %d or %d expected.\n"),"stdevf",2,"r","c",1,2)),
end
endfunction
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