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1 # $Id$
3 # BioPerl module for Bio::Tools::RandomDistFunctions
5 # Please direct questions and support issues to <bioperl-l@bioperl.org>
7 # Cared for by Jason Stajich <jason-at-bioperl.org>
9 # Copyright Jason Stajich
11 # You may distribute this module under the same terms as perl itself
13 # POD documentation - main docs before the code
15 =head1 NAME
17 Bio::Tools::RandomDistFunctions - A set of routines useful for
18 generating random data in different distributions
20 =head1 SYNOPSIS
22 use Bio::Tools::RandomDistFunctions;
23 my $dist = Bio::Tools::RandomDistFunctions->new();
24 for my $v ( 1..1000 ) {
25 my $birth_dist = $dist->rand_birth_distribution($lambda);
26 # ... do something with the variable
29 =head1 DESCRIPTION
31 Most of the code is based on the C implementation of these routines in
32 Mike Sanderson's r8s's package. See http://ginger.ucdavis.edu/ for
33 information on his software.
35 This code tries to be fast and use available faster BigInt and GMP
36 library methods when those modules are available.
38 =head1 FEEDBACK
40 =head2 Mailing Lists
42 User feedback is an integral part of the evolution of this and other
43 Bioperl modules. Send your comments and suggestions preferably to
44 the Bioperl mailing list. Your participation is much appreciated.
46 bioperl-l@bioperl.org - General discussion
47 http://bioperl.org/wiki/Mailing_lists - About the mailing lists
49 =head2 Support
51 Please direct usage questions or support issues to the mailing list:
53 L<bioperl-l@bioperl.org>
55 rather than to the module maintainer directly. Many experienced and
56 reponsive experts will be able look at the problem and quickly
57 address it. Please include a thorough description of the problem
58 with code and data examples if at all possible.
60 =head2 Reporting Bugs
62 Report bugs to the Bioperl bug tracking system to help us keep track
63 of the bugs and their resolution. Bug reports can be submitted via the
64 web:
66 http://bugzilla.open-bio.org/
68 =head1 AUTHOR - Jason Stajich
70 Email jason-at-bioperl.org
72 =head1 CONTRIBUTORS
74 Thanks to Mike Sanderson for assistance in the getting this
75 implementation together.
77 =head1 APPENDIX
79 The rest of the documentation details each of the object methods.
80 Internal methods are usually preceded with a _
82 =cut
85 # Let the code begin...
88 package Bio::Tools::RandomDistFunctions;
89 require Exporter;
90 use vars qw(%LOADED @EXPORT_OK); use strict;
92 #use Math::BigFloat lib => 'GMP,Bit::Vector';
93 #use Math::BigInt lib => 'GMP,Bit::Vector';
94 use POSIX;
96 use base qw(Bio::Root::Root);
98 =head2 birth_distribution
100 Title : rand_birth_distribution
101 Usage : my $randvar = $dist->
102 rand_birth_distribution($lambda);
103 Function: Returns a random number from a birth process waiting
104 time with a fixed interval
105 1.0. Times are measured from 0=present,1=root;
106 Returns : floating point number
107 Args : $lambda ( > 0 )
108 References : This is based on code by Mike Sanders in r8s.
109 Ross, Stochastic Processes, p. 145 for the density
111 =cut
113 sub rand_birth_distribution{
114 my ($self,$lambda) = @_;
115 if( ! ref($self) &&
116 $self !~ /RandomDistFunctions/ ) {
117 $lambda = $self;
119 unless( $lambda ) {
120 $self->throw("Cannot call birth_distribution without a valid lambda value (>0)");
122 return 1 - (log(rand(1) * (exp($lambda) - 1)+1)/ $lambda);
126 =head2 rand_geometric_distribution
128 Title : rand_geometric_distribution
129 Usage : my $randvar = $dist->rand_geometric_distribution($param);
130 Function: Returns a random geometric variate distributed with
131 paramater $param, according to
132 c.d.f. 1 - ( 1- param) ^ n
133 Returns : integer
134 Args : $param ( 0 > $param < 1 )
137 =cut
139 sub rand_geometric_distribution{
140 my ($self,$param) = @_;
141 if( ! ref($self) &&
142 $self !~ /RandomDistFunctions/ ) {
143 $param = $self;
145 unless( $param ) {
146 $self->throw("Cannot call rand_geometric_distribution without a valid param value (>0)");
149 my $den;
150 if( $param < 1e-8) {
151 $den = (-1 * $param) - ( $param * $param ) / 2;
152 } else {
153 $den = log(1 - $param);
155 my $z = log(1 - rand(1)) / $den;
156 return POSIX::floor($z) + 1;
157 # MSanderson comments from r8s code
158 # Is this the right truncation of the real-valued expression above?
159 # YES
160 # Checked by reference to the expected mean of the distribution in
161 # 100,000 replicates
162 # EX = 1/param Var = (1-param)/param^2 See Olkin, Gleser, and
163 # Derman, p. 193ff. Probability Models and Applications, 1980.
166 =head2 rand_exponentional_distribution
168 Title : rand_exponentional_distribution
169 Usage : my $var = $dist->rand_exponentional_distribution($param);
170 Function: Returns a random exponential variate distributed with parameter
171 $param, according to c.d.f 1 - e^(-param * x)
172 Returns : floating point number
173 Args : $param ( > 0 )
176 =cut
178 sub rand_exponentional_distribution {
179 my ($self,$param) = @_;
180 if( ! ref($self) &&
181 $self !~ /RandomDistFunctions/ ) {
182 $param = $self;
184 unless( $param ) {
185 $self->throw("Cannot call rand_exponentional_distribution without a valid param value (>0)");
187 return log( 1- rand(1)) / $param;
190 =head2 rand_normal_distribution
192 Title : rand_normal_distribution
193 Usage : my $var = $dist->rand_normal_distribution()
194 Function: Returns a random normal (gaussian) variate distributed
195 Returns : floating point number
196 Args : none
199 =cut
201 sub rand_normal_distribution{
202 my $gset;
203 my ($rsq,$v1,$v2) = ( 0,0,0);
204 do {
205 $v1 = 2 * rand(1) - 1;
206 $v2 = 2 * rand(1) - 1;
207 $rsq= $v1**2 + $v2 ** 2;
208 } while( $rsq >= 1 || $rsq == 0);
209 my $fac = sqrt(-2.0 * log($rsq) / $rsq );
210 $gset = $v1 * $fac;
211 return $v2 * $fac;