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Diffstat (limited to 'modules/statistics/macros/nanstdev.sci')
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1 files changed, 55 insertions, 0 deletions
diff --git a/modules/statistics/macros/nanstdev.sci b/modules/statistics/macros/nanstdev.sci new file mode 100755 index 000000000..6e38effd3 --- /dev/null +++ b/modules/statistics/macros/nanstdev.sci @@ -0,0 +1,55 @@ +// Scilab ( http://www.scilab.org/ ) - This file is part of Scilab +// Copyright (C) 2000 - 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_V2.1-en.txt +// + +function [s]=nanstdev(x,orient) + // + //This function computes the standard deviation of the values of a + //vector or matrix x (ignoring the NANs). + // + //For a vector or a matrix x, y=nanstdev(x) returns in the scalar y the + //standard deviation of all the entries of x (ignoring the NANs). + // + //y=nanstdev(x,'r') (or, equivalently, y=nanstdev(x,1)) is the rowwise + //standard deviation. It returns in each entry of the row vector y the + //standard deviation of each column of x (ignoring the NANs). + // + //y=nanstdev(x,'c') (or, equivalently, y=nanstdev(x,2)) is the + //columnwise standard deviation. It returns in each entry of the column + //vector y the standard deviation of each row of x (ignoring the NANs). + // + // + //Fixings 2001-10-01. Communication from + //Collewet Guylaine <guylaine.collewet@cemagref.fr> + // + + if argn(2)==0 then error(msprintf(gettext("%s: Wrong number of input argument: %d to %d expected.\n"),"nanstdev",1,2)), end + + if x==[] then s=%nan, return, end + + if argn(2)==1 then orient="*",end + if orient=="r" then orient=1,elseif orient=="c" then orient=2,end + + isn=isnan(x) + Mean=nanmean(x,orient); + if orient=="*" then + N=size(x,orient)-sum(bool2s(isn),orient) + x=x-Mean + else + N=size(x,orient)-sum(bool2s(isn),orient) + ind=list();for k=size(x),ind($+1)=:;end + ind(orient)=ones(size(x,orient),1) + x=x-Mean(ind(:)) + end + x(isn)=0 + allnans=find(N==0) + N(allnans)=1 + s=sqrt(sum(x.*x,orient)./max(N-1,1)); + s(allnans)=%nan +endfunction |