Mercurial > octave
annotate scripts/statistics/base/mean.m @ 12656:6b2f14af2360
Overhaul functions in statistics/base directory.
Widen input validation to accept logicals.
Return correct class of output, e.g., 'single' depending on class of input.
Correct or add tests for above.
* center.m, cov.m, kendall.m, mean.m, meansq.m, median.m, mode.m, prctile.m,
quantile.m, ranks.m, run_count.m, runlength.m, spearman.m, statistics.m,
std.m, var.m, logistic_inv.m: Overhaul as described above
* corrcoef.m: Overhaul + remove input validation already done by cov().
* cor.m, logit.m, ppplot.m, table.m: Only align test blocks.
* gls.m, ols.m: Only correct class of output, no logical inputs for regression.
* histc.m: Only change spacing of code to be uniform.
* iqr.m: Overhaul + 2X speedup by calling empirical_inv just once.
* kurtosis.m: Overhaul + replace repmat instances with center().
* mahalanobis.m: Overhaul + use bsxfun for centering data.
* moment.m: Overhaul + replace repmat instances with center().
* probit.m, range.m: Redo input validation and add tests.
* skewness.m: Overhaul + replace repmat instances with center().
* zscore.m: Overhaul + replace repmat instances with center() + use bsxfun.
author | Rik <octave@nomad.inbox5.com> |
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date | Sat, 07 May 2011 14:52:08 -0700 |
parents | d0b799dafede |
children | 72c96de7a403 |
rev | line source |
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11523 | 1 ## Copyright (C) 1995-2011 Kurt Hornik |
3426 | 2 ## |
3922 | 3 ## This file is part of Octave. |
4 ## | |
5 ## Octave is free software; you can redistribute it and/or modify it | |
6 ## under the terms of the GNU General Public License as published by | |
7016 | 7 ## the Free Software Foundation; either version 3 of the License, or (at |
8 ## your option) any later version. | |
3426 | 9 ## |
3922 | 10 ## Octave is distributed in the hope that it will be useful, but |
3200 | 11 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
3426 | 13 ## General Public License for more details. |
14 ## | |
3200 | 15 ## You should have received a copy of the GNU General Public License |
7016 | 16 ## along with Octave; see the file COPYING. If not, see |
17 ## <http://www.gnu.org/licenses/>. | |
3200 | 18 |
3367 | 19 ## -*- texinfo -*- |
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20 ## @deftypefn {Function File} {} mean (@var{x}) |
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21 ## @deftypefnx {Function File} {} mean (@var{x}, @var{dim}) |
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22 ## @deftypefnx {Function File} {} mean (@var{x}, @var{opt}) |
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23 ## @deftypefnx {Function File} {} mean (@var{x}, @var{dim}, @var{opt}) |
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24 ## Compute the mean of the elements of the vector @var{x}. |
3367 | 25 ## @tex |
26 ## $$ {\rm mean}(x) = \bar{x} = {1\over N} \sum_{i=1}^N x_i $$ | |
27 ## @end tex | |
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28 ## @ifnottex |
3426 | 29 ## |
3367 | 30 ## @example |
31 ## mean (x) = SUM_i x(i) / N | |
32 ## @end example | |
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33 ## |
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34 ## @end ifnottex |
3367 | 35 ## If @var{x} is a matrix, compute the mean for each column and return them |
36 ## in a row vector. | |
3200 | 37 ## |
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38 ## The optional argument @var{opt} selects the type of mean to compute. |
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39 ## The following options are recognized: |
3367 | 40 ## |
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41 ## @table @asis |
3367 | 42 ## @item "a" |
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43 ## Compute the (ordinary) arithmetic mean. [default] |
3367 | 44 ## |
45 ## @item "g" | |
7001 | 46 ## Compute the geometric mean. |
3367 | 47 ## |
48 ## @item "h" | |
49 ## Compute the harmonic mean. | |
50 ## @end table | |
4022 | 51 ## |
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52 ## If the optional argument @var{dim} is given, operate along this dimension. |
4022 | 53 ## |
54 ## Both @var{dim} and @var{opt} are optional. If both are supplied, | |
55 ## either may appear first. | |
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56 ## @seealso{median, mode} |
3367 | 57 ## @end deftypefn |
3426 | 58 |
5428 | 59 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> |
3456 | 60 ## Description: Compute arithmetic, geometric, and harmonic mean |
3200 | 61 |
4022 | 62 function y = mean (x, opt1, opt2) |
63 | |
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64 if (nargin < 1 || nargin > 3) |
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65 print_usage (); |
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66 endif |
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67 |
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68 if (! (isnumeric (x) || islogical (x))) |
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69 error ("mean: X must be a numeric vector or matrix"); |
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70 endif |
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71 |
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72 need_dim = false; |
3200 | 73 |
4022 | 74 if (nargin == 1) |
75 opt = "a"; | |
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76 need_dim = true; |
4022 | 77 elseif (nargin == 2) |
5443 | 78 if (ischar (opt1)) |
4022 | 79 opt = opt1; |
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80 need_dim = true; |
4022 | 81 else |
4525 | 82 dim = opt1; |
4022 | 83 opt = "a"; |
84 endif | |
85 elseif (nargin == 3) | |
5443 | 86 if (ischar (opt1)) |
4022 | 87 opt = opt1; |
88 dim = opt2; | |
5443 | 89 elseif (ischar (opt2)) |
4022 | 90 opt = opt2; |
91 dim = opt1; | |
92 else | |
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93 error ("mean: OPT must be a string"); |
4022 | 94 endif |
95 else | |
6046 | 96 print_usage (); |
3200 | 97 endif |
3426 | 98 |
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99 nd = ndims (x); |
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100 sz = size (x); |
4022 | 101 if (need_dim) |
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102 ## Find the first non-singleton dimension. |
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103 (dim = find (sz > 1, 1)) || (dim = 1); |
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104 else |
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105 if (!(isscalar (dim) && dim == fix (dim)) |
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106 || !(1 <= dim && dim <= nd)) |
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107 error ("mean: DIM must be an integer and a valid dimension"); |
4022 | 108 endif |
3200 | 109 endif |
110 | |
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111 n = sz(dim); |
3426 | 112 |
3200 | 113 if (strcmp (opt, "a")) |
4022 | 114 y = sum (x, dim) / n; |
3200 | 115 elseif (strcmp (opt, "g")) |
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116 y = prod (x, dim) .^ (1/n); |
3200 | 117 elseif (strcmp (opt, "h")) |
4022 | 118 y = n ./ sum (1 ./ x, dim); |
3200 | 119 else |
3456 | 120 error ("mean: option `%s' not recognized", opt); |
3200 | 121 endif |
3426 | 122 |
3200 | 123 endfunction |
7411 | 124 |
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125 |
7411 | 126 %!test |
127 %! x = -10:10; | |
128 %! y = x'; | |
129 %! z = [y, y+10]; | |
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130 %! assert(mean (x) == 0); |
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131 %! assert(mean (y) == 0); |
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132 %! assert(mean (z) == [0, 10]); |
7411 | 133 |
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134 %!assert(mean (magic(3), 1), [5, 5, 5]); |
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135 %!assert(mean (magic(3), 2), [5; 5; 5]); |
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136 %!assert(mean ([2 8], 'g'), 4); |
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137 %!assert(mean ([4 4 2], 'h'), 3); |
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138 %!assert(mean (logical ([1 0 1 1])), 0.75); |
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139 %!assert(mean (single ([1 0 1 1])), single (0.75)); |
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140 |
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141 %% Test input validation |
7411 | 142 %!error mean (); |
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143 %!error mean (1, 2, 3, 4); |
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144 %!error mean ({1:5}); |
7411 | 145 %!error mean (1, 2, 3); |
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146 %!error mean (1, ones(2,2)); |
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147 %!error mean (1, 1.5); |
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148 %!error mean (1, 0); |
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149 %!error mean (1, 3); |
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150 %!error mean (1, 'b'); |
7411 | 151 |