Mercurial > octave
annotate scripts/statistics/distributions/discrete_inv.m @ 13171:19b9f17d22af
Overhaul of statistical distribution functions
Support class "single"
75% reduction in memory usage
More Matlab compatibility for corner cases
* betacdf.m, betainv.m, betapdf.m, betarnd.m, binocdf.m, binoinv.m, binopdf.m,
binornd.m, cauchy_cdf.m, cauchy_inv.m, cauchy_pdf.m, cauchy_rnd.m, chi2cdf.m,
chi2inv.m, chi2pdf.m, chi2rnd.m, discrete_cdf.m, discrete_inv.m,
discrete_pdf.m, discrete_rnd.m, empirical_cdf.m, empirical_inv.m,
empirical_pdf.m, empirical_rnd.m, expcdf.m, expinv.m, exppdf.m, exprnd.m,
fcdf.m, finv.m, fpdf.m, frnd.m, gamcdf.m, gaminv.m, gampdf.m, gamrnd.m,
geocdf.m, geoinv.m, geopdf.m, geornd.m, hygecdf.m, hygeinv.m, hygepdf.m,
hygernd.m, kolmogorov_smirnov_cdf.m, laplace_cdf.m, laplace_inv.m,
laplace_pdf.m, laplace_rnd.m, logistic_cdf.m, logistic_inv.m, logistic_pdf.m,
logistic_rnd.m, logncdf.m, logninv.m, lognpdf.m, lognrnd.m, nbincdf.m,
nbininv.m, nbinpdf.m, nbinrnd.m, normcdf.m, norminv.m, normpdf.m, normrnd.m,
poisscdf.m, poissinv.m, poisspdf.m, poissrnd.m, stdnormal_cdf.m,
stdnormal_inv.m, stdnormal_pdf.m, stdnormal_rnd.m, tcdf.m, tinv.m, tpdf.m,
trnd.m, unidcdf.m, unidinv.m, unidpdf.m, unidrnd.m, unifcdf.m, unifinv.m,
unifpdf.m, unifrnd.m, wblcdf.m, wblinv.m, wblpdf.m, wblrnd.m:
Return "single" outputs for "single" inputs,
Use logical indexing rather than find() for 75% memory savings,
Add tests for all functions,
Use consistent documentation across all functions,
More Matlab compatibilitcy for corner cases.
author | Rik <octave@nomad.inbox5.com> |
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date | Tue, 20 Sep 2011 12:13:13 -0700 |
parents | fd0a3ac60b0e |
children | 72c96de7a403 |
rev | line source |
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1 ## Copyright (C) 2011 Rik Wehbring |
11523 | 2 ## Copyright (C) 1996-2011 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 -*- |
21 ## @deftypefn {Function File} {} discrete_inv (@var{x}, @var{v}, @var{p}) | |
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22 ## For each element of @var{x}, compute the quantile (the inverse of |
3456 | 23 ## the CDF) at @var{x} of the univariate distribution which assumes the |
24 ## values in @var{v} with probabilities @var{p}. | |
25 ## @end deftypefn | |
3191 | 26 |
5428 | 27 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> |
3456 | 28 ## Description: Quantile function of a discrete distribution |
3191 | 29 |
3456 | 30 function inv = discrete_inv (x, v, p) |
3426 | 31 |
3191 | 32 if (nargin != 3) |
6046 | 33 print_usage (); |
3191 | 34 endif |
35 | |
4030 | 36 if (! isvector (v)) |
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37 error ("discrete_inv: V must be a vector"); |
4030 | 38 elseif (! isvector (p) || (length (p) != length (v))) |
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39 error ("discrete_inv: P must be a vector with length (V) elements"); |
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40 elseif (any (isnan (p))) |
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41 error ("discrete_rnd: P must not have any NaN elements"); |
3456 | 42 elseif (! (all (p >= 0) && any (p))) |
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43 error ("discrete_inv: P must be a nonzero, non-negative vector"); |
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44 endif |
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45 |
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46 if (isa (x, "single") || isa (v, "single") || isa (p, "single")); |
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47 inv = NaN (size (x), "single"); |
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48 else |
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49 inv = NaN (size (x)); |
3191 | 50 endif |
51 | |
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52 ## FIXME: This isn't elegant. But cumsum and lookup together produce |
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53 ## different results when called with a single or a double. |
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54 if (isa (p, "single")); |
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55 p = double (p); |
3191 | 56 endif |
4778 | 57 |
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58 [v, idx] = sort (v); |
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59 p = cumsum (p(idx)(:)) / sum (p); # Reshape and normalize probability vector |
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60 |
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61 k = (x == 0); |
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62 inv(k) = v(1); |
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63 |
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64 k = (x == 1); |
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65 inv(k) = v(end); |
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66 |
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67 k = (x > 0) & (x < 1); |
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68 inv(k) = v(length (p) - lookup (sort (p, "descend"), x(k)) + 1); |
3191 | 69 |
70 endfunction | |
71 | |
72 | |
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73 %!shared x,v,p,y |
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74 %! x = [-1 0 0.1 0.5 1 2]; |
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75 %! v = 0.1:0.2:1.9; |
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76 %! p = 1/length(v) * ones(1, length(v)); |
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77 %! y = [NaN v(1) v(1) v(end/2) v(end) NaN]; |
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78 %!assert(discrete_inv ([x, NaN], v, p), [y, NaN], eps); |
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79 |
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80 %% Test class of input preserved |
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81 %!assert(discrete_inv (single([x, NaN]), v, p), single([y, NaN]), eps("single")); |
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82 %!assert(discrete_inv ([x, NaN], single(v), p), single([y, NaN]), eps("single")); |
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83 %!assert(discrete_inv ([x, NaN], v, single(p)), single([y, NaN]), eps("single")); |
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84 |
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85 %% Test input validation |
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86 %!error discrete_inv () |
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87 %!error discrete_inv (1) |
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88 %!error discrete_inv (1,2) |
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89 %!error discrete_inv (1,2,3,4) |
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90 %!error discrete_inv (1, ones(2), ones(2,1)) |
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91 %!error discrete_inv (1, ones(2,1), ones(1,1)) |
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92 %!error discrete_inv (1, ones(2,1), [1 NaN]) |
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93 %!error discrete_inv (1, ones(2,1), [1 -1]) |
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94 %!error discrete_inv (1, ones(2,1), [0 0]) |
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95 |