Mercurial > hg > octave-lyh
view scripts/statistics/base/studentize.m @ 5307:4c8a2e4e0717
[project @ 2005-04-26 19:24:27 by jwe]
author | jwe |
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date | Tue, 26 Apr 2005 19:24:47 +0000 |
parents | 54b076a24718 |
children | 2a16423e4aa0 |
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## Copyright (C) 1995, 1996, 1997 Kurt Hornik ## ## This file is part of Octave. ## ## Octave 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, or (at your option) ## any later version. ## ## Octave 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 Octave; see the file COPYING. If not, write to the Free ## Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA ## 02110-1301, USA. ## -*- texinfo -*- ## @deftypefn {Function File} {} studentize (@var{x}, @var{dim}) ## If @var{x} is a vector, subtract its mean and divide by its standard ## deviation. ## ## If @var{x} is a matrix, do the above along the first non-singleton ## dimension. If the optional argument @var{dim} is given then operate ## along this dimension. ## @end deftypefn ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: Subtract mean and divide by standard deviation function t = studentize (x, dim) if (nargin != 1 && nargin != 2) usage ("studentize (x, dim)"); endif nd = ndims (x); sz = size (x); if (nargin != 2) ## Find the first non-singleton dimension. dim = 1; while (dim < nd + 1 && sz(dim) == 1) dim = dim + 1; endwhile if (dim > nd) dim = 1; endif else if (! (isscalar (dim) && dim == round (dim)) && dim > 0 && dim < (nd + 1)) error ("studentize: dim must be an integer and valid dimension"); endif endif if (! ismatrix (x)) error ("studentize: x must be a vector or a matrix"); endif c = sz(dim); idx = ones (1, nd); idx(dim) = c; t = x - repmat (mean (x, dim), idx); t = t ./ repmat (max (cat (dim, std(t, [], dim), ! any (t, dim)), [], dim), idx); endfunction