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view scripts/statistics/base/statistics.m @ 9245:16f53d29049f
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author | John W. Eaton <jwe@octave.org> |
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date | Fri, 22 May 2009 10:46:00 -0400 |
parents | eb63fbe60fab |
children | 95c3e38098bf |
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## Copyright (C) 1995, 1996, 1997, 1998, 1999, 2000, 2002, 2004, 2005, ## 2006, 2007, 2008 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 3 of the License, 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, see ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {} statistics (@var{x}) ## If @var{x} is a matrix, return a matrix with the minimum, first ## quartile, median, third quartile, maximum, mean, standard deviation, ## skewness and kurtosis of the columns of @var{x} as its columns. ## ## If @var{x} is a vector, calculate the statistics along the ## non-singleton dimension. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Compute basic statistics function S = statistics (X, dim) if (nargin != 1 && nargin != 2) print_usage (); endif nd = ndims (X); sz = size (X); nel = numel (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 ("statistics: dim must be an integer and valid dimension"); endif endif if (! ismatrix (X) || sz(dim) < 2) error ("statistics: invalid argument"); endif emp_inv = quantile (X, [0.25; 0.5; 0.75], dim, 7); S = cat (dim, min (X, [], dim), emp_inv, max (X, [], dim), mean (X, dim), std (X, [], dim), skewness (X, dim), kurtosis (X, dim)); endfunction %!test %! x = rand(7,5); %! s = statistics (x); %! m = median (x); %! assert (m, s(3,:), eps);