📄 discrete_rnd.m
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## Copyright (C) 1996, 1997 Kurt Hornik## ## This program is free software; you can redistribute it and/or modify## it under the terms of the GNU General Public License as published by## the Free Software Foundation; either version 2, or (at your option)## any later version.## ## This program is distributed in the hope that it will be useful, but## WITHOUT ANY WARRANTY; without even the implied warranty of## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU## General Public License for more details. ## ## You should have received a copy of the GNU General Public License## along with this file. If not, write to the Free Software Foundation,## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.## usage: discrete_rnd (N, V, P)#### Generate a random sample of size N from the univariate distribution## which assumes the values in V with probabilities P.#### Currently, N must be a scalar.## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>## Description: Random deviates from a discrete distributionfunction rnd = discrete_rnd (N, V, P) if (nargin != 3) usage ("discrete_rnd (N, V, P)"); endif if !is_scalar (N) error ("discrete_rnd: N must be a scalar"); endif if (! is_vector (V)) error ("discrete_rnd: V must be a vector"); elseif (! is_vector (P) || (length (P) != length (V))) error ("discrete_rnd: P must be a vector with length (V) elements"); elseif (! (all (P >= 0) && any (P))) error ("discrete_rnd: P must be a nonzero, nonnegative vector"); endif u = rand (1, N); m = length (P); s = reshape (cumsum (P / sum (P)), m, 1); rnd = V (1 + sum ((s * ones (1, N)) <= ((ones (m, 1) * u)))); if (prefer_column_vectors) rnd = rnd'; endif endfunction
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