Mercurial > hg > octave-nkf
annotate scripts/statistics/tests/cor_test.m @ 20818:9d2023d1a63c
binoinv.m: Implement binary search algorithm for 28X performance increase (bug #34363).
* binoinv.m: Call new functions scalar_binoinv or vector_binoinv to calculate
binoinv. If there are still uncalculated values then call bin_search_binoinv
to perform binary search for remaining values. Add more BIST tests.
* binoinv.m (scalar_binoinv): New subfunction to calculate binoinv for scalar x.
Stops when x > 1000.
* binoinv.m (vector_binoinv): New subfunction to calculate binoinv for scalar x.
Stops when x > 1000.
author | Lachlan Andrew <lachlanbis@gmail.com> |
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date | Sun, 11 Oct 2015 19:49:40 -0700 |
parents | d9341b422488 |
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1 ## Copyright (C) 1995-2015 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 |
3454 | 19 ## -*- texinfo -*- |
20 ## @deftypefn {Function File} {} cor_test (@var{x}, @var{y}, @var{alt}, @var{method}) | |
21 ## Test whether two samples @var{x} and @var{y} come from uncorrelated | |
22 ## populations. | |
3200 | 23 ## |
3454 | 24 ## The optional argument string @var{alt} describes the alternative |
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25 ## hypothesis, and can be @qcode{"!="} or @qcode{"<>"} (nonzero), @qcode{">"} |
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26 ## (greater than 0), or @qcode{"<"} (less than 0). The default is the |
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27 ## two-sided case. |
3200 | 28 ## |
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29 ## The optional argument string @var{method} specifies which correlation |
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30 ## coefficient to use for testing. If @var{method} is @qcode{"pearson"} |
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31 ## (default), the (usual) Pearson's produt moment correlation coefficient is |
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32 ## used. In this case, the data should come from a bivariate normal |
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33 ## distribution. Otherwise, the other two methods offer nonparametric |
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34 ## alternatives. If @var{method} is @qcode{"kendall"}, then Kendall's rank |
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35 ## correlation tau is used. If @var{method} is @qcode{"spearman"}, then |
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36 ## Spearman's rank correlation rho is used. Only the first character is |
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37 ## necessary. |
3200 | 38 ## |
39 ## The output is a structure with the following elements: | |
40 ## | |
3454 | 41 ## @table @var |
42 ## @item pval | |
43 ## The p-value of the test. | |
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44 ## |
3454 | 45 ## @item stat |
46 ## The value of the test statistic. | |
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47 ## |
3454 | 48 ## @item dist |
49 ## The distribution of the test statistic. | |
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50 ## |
3454 | 51 ## @item params |
52 ## The parameters of the null distribution of the test statistic. | |
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53 ## |
3454 | 54 ## @item alternative |
55 ## The alternative hypothesis. | |
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56 ## |
3454 | 57 ## @item method |
58 ## The method used for testing. | |
59 ## @end table | |
60 ## | |
61 ## If no output argument is given, the p-value is displayed. | |
62 ## @end deftypefn | |
3200 | 63 |
3456 | 64 ## Author: FL <Friedrich.Leisch@ci.tuwien.ac.at> |
5428 | 65 ## Adapted-by: KH <Kurt.Hornik@wu-wien.ac.at> |
3456 | 66 ## Description: Test for zero correlation |
3200 | 67 |
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68 function t = cor_test (x, y, alt, method) |
3426 | 69 |
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70 if (nargin < 2 || nargin > 4) |
6046 | 71 print_usage (); |
3200 | 72 endif |
73 | |
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74 if (! isvector (x) || ! isvector (y) || length (x) != length (y)) |
8664 | 75 error ("cor_test: X and Y must be vectors of the same length"); |
3200 | 76 endif |
77 | |
78 if (nargin < 3) | |
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79 alt = "!="; |
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80 elseif (! ischar (alt)) |
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81 error ("cor_test: ALT must be a string"); |
3200 | 82 endif |
83 | |
84 if (nargin < 4) | |
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85 method = "pearson"; |
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86 elseif (! ischar (method)) |
3456 | 87 error ("cor_test: METHOD must be a string"); |
3200 | 88 endif |
89 | |
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90 n = length (x); |
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91 m = method(1); |
3200 | 92 |
93 if (m == "p") | |
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94 r = corr (x, y); |
3200 | 95 df = n - 2; |
96 t.method = "Pearson's product moment correlation"; | |
97 t.params = df; | |
98 t.stat = sqrt (df) .* r / sqrt (1 - r.^2); | |
99 t.dist = "t"; | |
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100 cdf = tcdf (t.stat, df); |
3200 | 101 elseif (m == "k") |
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102 tau = kendall (x, y); |
3426 | 103 t.method = "Kendall's rank correlation tau"; |
3200 | 104 t.params = []; |
105 t.stat = tau / sqrt ((2 * (2*n+5)) / (9*n*(n-1))); | |
106 t.dist = "stdnormal"; | |
107 cdf = stdnormal_cdf (t.stat); | |
108 elseif (m == "s") | |
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109 rho = spearman (x, y); |
3200 | 110 t.method = "Spearman's rank correlation rho"; |
111 t.params = []; | |
112 t.stat = sqrt (n-1) * (rho - 6/(n^3-n)); | |
3426 | 113 t.dist = "stdnormal"; |
3200 | 114 cdf = stdnormal_cdf (t.stat); |
115 else | |
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116 error ("cor_test: METHOD '%s' not recognized", method); |
3200 | 117 endif |
118 | |
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119 if (strcmp (alt, "!=") || strcmp (alt, "<>")) |
3200 | 120 t.pval = 2 * min (cdf, 1 - cdf); |
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121 elseif (strcmp (alt, ">")) |
3200 | 122 t.pval = 1 - cdf; |
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123 elseif (strcmp (alt, "<")) |
3200 | 124 t.pval = cdf; |
125 else | |
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126 error ("cor_test: alternative '%s' not recognized", alt); |
3200 | 127 endif |
128 | |
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129 t.alternative = alt; |
3200 | 130 |
131 if (nargout == 0) | |
3456 | 132 printf ("pval: %g\n", t.pval); |
3200 | 133 endif |
3426 | 134 |
3200 | 135 endfunction |
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136 |