Mercurial > octave-nkf
annotate scripts/statistics/distributions/cauchy_inv.m @ 20643:d6d04088ac9e
nbininv.m: Increase speed (85X) and accuracy of function (bug #34363).
* nbininv.m: Call new function scalar_nbininv to calculate nbininv for scalar.
If there are still uncalculated values then call bin_search_nbininv. Call
bin_search_nbininv directly for vectors. Add more BIST tests.
* nbininv.m (scalar_binoinv): New subfunction to calculate nbininv for scalar x.
Stops when x > 1000.
* nbininv.m (bin_search_nbininv): New subfunction to do binary search for nbininv.
author | Lachlan Andrew <lachlanbis@gmail.com> |
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date | Sun, 11 Oct 2015 20:33:37 -0700 |
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1 ## Copyright (C) 2012 Rik Wehbring |
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2 ## Copyright (C) 1995-2015 Kurt Hornik |
3426 | 3 ## |
3922 | 4 ## This file is part of Octave. |
5 ## | |
6 ## Octave is free software; you can redistribute it and/or modify it | |
7 ## under the terms of the GNU General Public License as published by | |
7016 | 8 ## the Free Software Foundation; either version 3 of the License, or (at |
9 ## your option) any later version. | |
3426 | 10 ## |
3922 | 11 ## Octave is distributed in the hope that it will be useful, but |
3191 | 12 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
3426 | 14 ## General Public License for more details. |
15 ## | |
3191 | 16 ## You should have received a copy of the GNU General Public License |
7016 | 17 ## along with Octave; see the file COPYING. If not, see |
18 ## <http://www.gnu.org/licenses/>. | |
3191 | 19 |
3456 | 20 ## -*- texinfo -*- |
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21 ## @deftypefn {Function File} {} cauchy_inv (@var{x}) |
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22 ## @deftypefnx {Function File} {} cauchy_inv (@var{x}, @var{location}, @var{scale}) |
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23 ## For each element of @var{x}, compute the quantile (the inverse of the CDF) |
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24 ## at @var{x} of the Cauchy distribution with location parameter |
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25 ## @var{location} and scale parameter @var{scale}. |
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26 ## |
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27 ## Default values are @var{location} = 0, @var{scale} = 1. |
3456 | 28 ## @end deftypefn |
3191 | 29 |
5428 | 30 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> |
3456 | 31 ## Description: Quantile function of the Cauchy distribution |
3191 | 32 |
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33 function inv = cauchy_inv (x, location = 0, scale = 1) |
3426 | 34 |
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35 if (nargin != 1 && nargin != 3) |
6046 | 36 print_usage (); |
3191 | 37 endif |
3426 | 38 |
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39 if (! isscalar (location) || ! isscalar (scale)) |
4854 | 40 [retval, x, location, scale] = common_size (x, location, scale); |
41 if (retval > 0) | |
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42 error ("cauchy_inv: X, LOCATION, and SCALE must be of common size or scalars"); |
4854 | 43 endif |
3191 | 44 endif |
3426 | 45 |
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46 if (iscomplex (x) || iscomplex (location) || iscomplex (scale)) |
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47 error ("cauchy_inv: X, LOCATION, and SCALE must not be complex"); |
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48 endif |
3426 | 49 |
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50 if (isa (x, "single") || isa (location, "single") || isa (scale, "single")) |
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51 inv = NaN (size (x), "single"); |
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52 else |
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53 inv = NaN (size (x)); |
3191 | 54 endif |
3426 | 55 |
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56 ok = ! isinf (location) & (scale > 0) & (scale < Inf); |
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57 |
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58 k = (x == 0) & ok; |
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59 inv(k) = -Inf; |
3426 | 60 |
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61 k = (x == 1) & ok; |
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62 inv(k) = Inf; |
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63 |
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64 k = (x > 0) & (x < 1) & ok; |
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65 if (isscalar (location) && isscalar (scale)) |
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66 inv(k) = location - scale * cot (pi * x(k)); |
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67 else |
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68 inv(k) = location(k) - scale(k) .* cot (pi * x(k)); |
3191 | 69 endif |
3426 | 70 |
3191 | 71 endfunction |
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72 |
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73 |
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74 %!shared x |
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75 %! x = [-1 0 0.5 1 2]; |
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76 %!assert (cauchy_inv (x, ones (1,5), 2*ones (1,5)), [NaN -Inf 1 Inf NaN], eps) |
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77 %!assert (cauchy_inv (x, 1, 2*ones (1,5)), [NaN -Inf 1 Inf NaN], eps) |
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78 %!assert (cauchy_inv (x, ones (1,5), 2), [NaN -Inf 1 Inf NaN], eps) |
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79 %!assert (cauchy_inv (x, [1 -Inf NaN Inf 1], 2), [NaN NaN NaN NaN NaN]) |
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80 %!assert (cauchy_inv (x, 1, 2*[1 0 NaN Inf 1]), [NaN NaN NaN NaN NaN]) |
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81 %!assert (cauchy_inv ([x(1:2) NaN x(4:5)], 1, 2), [NaN -Inf NaN Inf NaN]) |
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82 |
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83 ## Test class of input preserved |
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84 %!assert (cauchy_inv ([x, NaN], 1, 2), [NaN -Inf 1 Inf NaN NaN], eps) |
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85 %!assert (cauchy_inv (single ([x, NaN]), 1, 2), single ([NaN -Inf 1 Inf NaN NaN]), eps ("single")) |
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86 %!assert (cauchy_inv ([x, NaN], single (1), 2), single ([NaN -Inf 1 Inf NaN NaN]), eps ("single")) |
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87 %!assert (cauchy_inv ([x, NaN], 1, single (2)), single ([NaN -Inf 1 Inf NaN NaN]), eps ("single")) |
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88 |
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89 ## Test input validation |
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90 %!error cauchy_inv () |
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91 %!error cauchy_inv (1,2) |
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92 %!error cauchy_inv (1,2,3,4) |
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93 %!error cauchy_inv (ones (3), ones (2), ones (2)) |
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94 %!error cauchy_inv (ones (2), ones (3), ones (2)) |
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95 %!error cauchy_inv (ones (2), ones (2), ones (3)) |
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96 %!error cauchy_inv (i, 2, 2) |
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97 %!error cauchy_inv (2, i, 2) |
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98 %!error cauchy_inv (2, 2, i) |
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99 |