Mercurial > octave-nkf
annotate scripts/statistics/distributions/logninv.m @ 20642:9d2023d1a63c
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 |
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1 ## Copyright (C) 2012 Rik Wehbring |
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2 ## Copyright (C) 1995-2015 Kurt Hornik |
5410 | 3 ## |
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. | |
5410 | 10 ## |
11 ## Octave is distributed in the hope that it will be useful, but | |
12 ## WITHOUT ANY WARRANTY; without even the implied warranty of | |
13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
14 ## General Public License for more details. | |
15 ## | |
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/>. | |
5410 | 19 |
20 ## -*- texinfo -*- | |
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21 ## @deftypefn {Function File} {} logninv (@var{x}) |
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22 ## @deftypefnx {Function File} {} logninv (@var{x}, @var{mu}, @var{sigma}) |
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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 lognormal distribution with parameters |
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25 ## @var{mu} and @var{sigma}. |
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26 ## |
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27 ## If a random variable follows this distribution, its logarithm is normally |
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28 ## distributed with mean @var{mu} and standard deviation @var{sigma}. |
5410 | 29 ## |
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30 ## Default values are @var{mu} = 0, @var{sigma} = 1. |
5410 | 31 ## @end deftypefn |
32 | |
5428 | 33 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> |
5410 | 34 ## Description: Quantile function of the log normal distribution |
35 | |
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36 function inv = logninv (x, mu = 0, sigma = 1) |
5410 | 37 |
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38 if (nargin != 1 && nargin != 3) |
6046 | 39 print_usage (); |
5410 | 40 endif |
41 | |
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42 if (! isscalar (mu) || ! isscalar (sigma)) |
5692 | 43 [retval, x, mu, sigma] = common_size (x, mu, sigma); |
5410 | 44 if (retval > 0) |
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45 error ("logninv: X, MU, and SIGMA must be of common size or scalars"); |
5410 | 46 endif |
47 endif | |
48 | |
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49 if (iscomplex (x) || iscomplex (mu) || iscomplex (sigma)) |
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50 error ("logninv: X, MU, and SIGMA must not be complex"); |
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51 endif |
5410 | 52 |
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53 if (isa (x, "single") || isa (mu, "single") || isa (sigma, "single")) |
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54 inv = NaN (size (x), "single"); |
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55 else |
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56 inv = NaN (size (x)); |
5410 | 57 endif |
58 | |
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59 k = !(x >= 0) | !(x <= 1) | !(sigma > 0) | !(sigma < Inf); |
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60 inv(k) = NaN; |
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61 |
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62 k = (x == 1) & (sigma > 0) & (sigma < Inf); |
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63 inv(k) = Inf; |
5410 | 64 |
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65 k = (x >= 0) & (x < 1) & (sigma > 0) & (sigma < Inf); |
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66 if (isscalar (mu) && isscalar (sigma)) |
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67 inv(k) = exp (mu) .* exp (sigma .* stdnormal_inv (x(k))); |
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68 else |
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69 inv(k) = exp (mu(k)) .* exp (sigma(k) .* stdnormal_inv (x(k))); |
5410 | 70 endif |
71 | |
72 endfunction | |
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73 |
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74 |
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75 %!shared x |
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76 %! x = [-1 0 0.5 1 2]; |
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77 %!assert (logninv (x, ones (1,5), ones (1,5)), [NaN 0 e Inf NaN]) |
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78 %!assert (logninv (x, 1, ones (1,5)), [NaN 0 e Inf NaN]) |
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79 %!assert (logninv (x, ones (1,5), 1), [NaN 0 e Inf NaN]) |
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80 %!assert (logninv (x, [1 1 NaN 0 1], 1), [NaN 0 NaN Inf NaN]) |
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81 %!assert (logninv (x, 1, [1 0 NaN Inf 1]), [NaN NaN NaN NaN NaN]) |
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82 %!assert (logninv ([x(1:2) NaN x(4:5)], 1, 2), [NaN 0 NaN Inf NaN]) |
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83 |
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84 ## Test class of input preserved |
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85 %!assert (logninv ([x, NaN], 1, 1), [NaN 0 e Inf NaN NaN]) |
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86 %!assert (logninv (single ([x, NaN]), 1, 1), single ([NaN 0 e Inf NaN NaN])) |
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87 %!assert (logninv ([x, NaN], single (1), 1), single ([NaN 0 e Inf NaN NaN])) |
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88 %!assert (logninv ([x, NaN], 1, single (1)), single ([NaN 0 e Inf NaN NaN])) |
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89 |
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90 ## Test input validation |
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91 %!error logninv () |
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92 %!error logninv (1,2) |
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93 %!error logninv (1,2,3,4) |
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94 %!error logninv (ones (3), ones (2), ones (2)) |
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95 %!error logninv (ones (2), ones (3), ones (2)) |
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96 %!error logninv (ones (2), ones (2), ones (3)) |
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97 %!error logninv (i, 2, 2) |
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98 %!error logninv (2, i, 2) |
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99 %!error logninv (2, 2, i) |
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100 |