annotate scripts/statistics/base/kurtosis.m @ 10669:cab3b148d4e4

Improve validation of input arguments for base statistics functions.
author Rik <octave@nomad.inbox5.com>
date Thu, 27 May 2010 20:12:51 -0700
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children 693e22af08ae
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1 ## Copyright (C) 1996, 1997, 1998, 1999, 2000, 2002, 2004, 2005, 2006,
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John W. Eaton <jwe@octave.org>
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2 ## 2007, 2008, 2009 John W. Eaton
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3 ##
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4 ## This file is part of Octave.
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5 ##
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6 ## Octave is free software; you can redistribute it and/or modify it
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7 ## under the terms of the GNU General Public License as published by
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8 ## the Free Software Foundation; either version 3 of the License, or (at
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9 ## your option) any later version.
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10 ##
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11 ## Octave is distributed in the hope that it will be useful, but
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12 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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14 ## General Public License for more details.
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15 ##
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16 ## You should have received a copy of the GNU General Public License
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17 ## along with Octave; see the file COPYING. If not, see
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18 ## <http://www.gnu.org/licenses/>.
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19
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20 ## -*- texinfo -*-
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21 ## @deftypefn {Function File} {} kurtosis (@var{x}, @var{dim})
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22 ## If @var{x} is a vector of length @math{N}, return the kurtosis
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23 ## @tex
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24 ## $$
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25 ## {\rm kurtosis} (x) = {1\over N \sigma(x)^4} \sum_{i=1}^N (x_i-\bar{x})^4 - 3
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26 ## $$
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27 ## where $\bar{x}$ is the mean value of $x$.
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28 ## @end tex
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29 ## @ifnottex
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30 ##
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31 ## @example
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32 ## kurtosis (x) = N^(-1) std(x)^(-4) sum ((x - mean(x)).^4) - 3
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33 ## @end example
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34 ## @end ifnottex
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35 ##
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36 ## @noindent
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37 ## of @var{x}. If @var{x} is a matrix, return the kurtosis over the
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38 ## first non-singleton dimension. The optional argument @var{dim}
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39 ## can be given to force the kurtosis to be given over that
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40 ## dimension.
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41 ## @end deftypefn
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42
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43 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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44 ## Created: 29 July 1994
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45 ## Adapted-By: jwe
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46
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47 function retval = kurtosis (x, dim)
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48
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49 if (nargin != 1 && nargin != 2)
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50 print_usage ();
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51 endif
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52
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53 if (!ismatrix(x) || ischar(x))
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54 error ("kurtosis: X must be a numeric matrix or vector");
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55 endif
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56
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57 nd = ndims (x);
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58 sz = size (x);
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59 if (nargin != 2)
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60 ## Find the first non-singleton dimension.
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61 dim = find (sz > 1, 1);
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62 if (isempty (dim))
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63 dim = 1;
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64 endif
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65 else
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66 if (!(isscalar (dim) && dim == round (dim)) ||
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67 !(1 <= dim && dim <= nd))
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68 error ("kurtosis: DIM must be an integer and a valid dimension");
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69 endif
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70 endif
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71
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72 c = sz(dim);
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73 sz(dim) = 1;
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74 idx = ones (1, nd);
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75 idx(dim) = c;
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76 x = x - repmat (mean (x, dim), idx);
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77 retval = zeros (sz);
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78 s = std (x, [], dim);
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79 x = sum(x.^4, dim);
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80 ind = find (s > 0);
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81 retval(ind) = x(ind) ./ (c * s(ind) .^ 4) - 3;
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82
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83 endfunction
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84
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85 %!test
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86 %! x = [-1; 0; 0; 0; 1];
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87 %! y = [x, 2*x];
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88 %! assert(all (abs (kurtosis (y) - [-1.4, -1.4]) < sqrt (eps)));
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89
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90 %!error kurtosis ();
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91
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92 %!error kurtosis (1, 2, 3);
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93