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>
date Tue, 20 Sep 2011 12:13:13 -0700
parents fd0a3ac60b0e
children 72c96de7a403
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1 ## Copyright (C) 2011 Rik Wehbring
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2 ## Copyright (C) 1996-2011 Kurt Hornik
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3 ##
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4 ## This file is part of Octave.
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5 ##
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6 ## Octave is free software; you can redistribute it and/or modify it
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7 ## under the terms of the GNU General Public License as published by
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8 ## the Free Software Foundation; either version 3 of the License, or (at
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9 ## your option) any later version.
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10 ##
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11 ## Octave is distributed in the hope that it will be useful, but
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12 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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14 ## General Public License for more details.
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15 ##
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16 ## You should have received a copy of the GNU General Public License
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17 ## along with Octave; see the file COPYING. If not, see
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18 ## <http://www.gnu.org/licenses/>.
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19
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20 ## -*- texinfo -*-
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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
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23 ## the CDF) at @var{x} of the univariate distribution which assumes the
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24 ## values in @var{v} with probabilities @var{p}.
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25 ## @end deftypefn
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27 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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28 ## Description: Quantile function of a discrete distribution
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29
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30 function inv = discrete_inv (x, v, p)
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31
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32 if (nargin != 3)
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33 print_usage ();
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34 endif
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35
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36 if (! isvector (v))
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37 error ("discrete_inv: V must be a vector");
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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");
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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));
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50 endif
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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);
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56 endif
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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);
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69
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70 endfunction
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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