line |
stmt |
bran |
cond |
sub |
pod |
time |
code |
1
|
|
|
|
|
|
|
package Test::Probability; |
2
|
|
|
|
|
|
|
{ |
3
|
|
|
|
|
|
|
$Test::Probability::VERSION = '0.002'; |
4
|
|
|
|
|
|
|
} |
5
|
|
|
|
|
|
|
|
6
|
5
|
|
|
5
|
|
140572
|
use strict; |
|
5
|
|
|
|
|
11
|
|
|
5
|
|
|
|
|
193
|
|
7
|
5
|
|
|
5
|
|
26
|
use warnings; |
|
5
|
|
|
|
|
9
|
|
|
5
|
|
|
|
|
391
|
|
8
|
|
|
|
|
|
|
|
9
|
|
|
|
|
|
|
require Exporter; |
10
|
|
|
|
|
|
|
our @ISA = qw/Exporter/; |
11
|
|
|
|
|
|
|
our @EXPORT = qw/dist_ok/; |
12
|
|
|
|
|
|
|
|
13
|
|
|
|
|
|
|
require AutoLoader; # Statistics::Distributions should do this, but doesn't. |
14
|
5
|
|
|
5
|
|
5015
|
use Statistics::Distributions 1.02 qw/chisqrdistr/; |
|
5
|
|
|
|
|
18832
|
|
|
5
|
|
|
|
|
415
|
|
15
|
5
|
|
|
5
|
|
39
|
use Test::More; |
|
5
|
|
|
|
|
10
|
|
|
5
|
|
|
|
|
35
|
|
16
|
5
|
|
|
5
|
|
1715
|
use List::Util qw/sum/; |
|
5
|
|
|
|
|
8
|
|
|
5
|
|
|
|
|
605
|
|
17
|
5
|
|
|
5
|
|
5346
|
use List::MoreUtils qw/pairwise/; |
|
5
|
|
|
|
|
6589
|
|
|
5
|
|
|
|
|
497
|
|
18
|
5
|
|
|
5
|
|
36
|
use Carp; |
|
5
|
|
|
|
|
10
|
|
|
5
|
|
|
|
|
1992
|
|
19
|
|
|
|
|
|
|
|
20
|
|
|
|
|
|
|
sub chisq { |
21
|
2
|
|
|
2
|
0
|
583
|
my ($observed, $expected) = @_; |
22
|
|
|
|
|
|
|
return sum(pairwise { |
23
|
31
|
100
|
|
31
|
|
59
|
my $denom = $b > 0.5 ? $b : 0.5; |
24
|
31
|
|
|
|
|
77
|
($a - $b)**2 / $denom; |
25
|
2
|
|
|
|
|
29
|
} @$observed, @$expected); |
26
|
|
|
|
|
|
|
} |
27
|
|
|
|
|
|
|
|
28
|
|
|
|
|
|
|
sub fits_distribution { |
29
|
2
|
|
|
2
|
0
|
6
|
my ($observed, $dist, $confidence) = @_; |
30
|
2
|
50
|
|
|
|
16
|
croak "First arg not an array or arrayref" unless ref $observed eq 'ARRAY'; |
31
|
2
|
50
|
|
|
|
9
|
croak "Second arg not an array or arrayref" unless ref $dist eq 'ARRAY'; |
32
|
2
|
50
|
|
|
|
9
|
croak "Size of observed domain does not match size of distribution domain" |
33
|
|
|
|
|
|
|
unless scalar(@$observed) == scalar(@$dist); |
34
|
2
|
|
|
|
|
19
|
my $observations = sum @$observed; |
35
|
2
|
|
|
|
|
7
|
my $scalefactor = $observations / (sum @$dist); |
36
|
2
|
|
|
|
|
5
|
my @expected = map { $_ * $scalefactor } @$dist; |
|
31
|
|
|
|
|
49
|
|
37
|
2
|
|
|
|
|
7
|
my $chisq = chisq($observed, \@expected); |
38
|
2
|
|
|
|
|
11
|
my $dof = @$dist - 1; # degrees of freedom |
39
|
2
|
|
|
|
|
11
|
my $threshold = chisqrdistr($dof, 1 - $confidence); |
40
|
2
|
|
|
|
|
393
|
return $chisq <= $threshold; |
41
|
|
|
|
|
|
|
} |
42
|
|
|
|
|
|
|
|
43
|
|
|
|
|
|
|
sub dist_ok { |
44
|
2
|
|
|
2
|
1
|
981
|
my ($observed, $dist, $confidence, $message) = @_; |
45
|
2
|
|
|
|
|
6
|
ok(fits_distribution($observed, $dist, $confidence), $message); |
46
|
|
|
|
|
|
|
} |
47
|
|
|
|
|
|
|
|
48
|
|
|
|
|
|
|
1; |
49
|
|
|
|
|
|
|
|
50
|
|
|
|
|
|
|
__END__ |
51
|
|
|
|
|
|
|
|
52
|
|
|
|
|
|
|
=head1 NAME |
53
|
|
|
|
|
|
|
|
54
|
|
|
|
|
|
|
Test::Probability - test if results are distributed correctly |
55
|
|
|
|
|
|
|
|
56
|
|
|
|
|
|
|
=head1 SYNOPSIS |
57
|
|
|
|
|
|
|
|
58
|
|
|
|
|
|
|
use Test::Probability; |
59
|
|
|
|
|
|
|
|
60
|
|
|
|
|
|
|
my @results; |
61
|
|
|
|
|
|
|
for (0 .. 1000) { |
62
|
|
|
|
|
|
|
$results[rand_fn()]++; |
63
|
|
|
|
|
|
|
} |
64
|
|
|
|
|
|
|
my @probabilities = (0.5, 0.2, 0.3); |
65
|
|
|
|
|
|
|
my $confidence = 0.9; |
66
|
|
|
|
|
|
|
dist_ok(@results, @probabilities, $confidence, |
67
|
|
|
|
|
|
|
"results match expected with confidence $confidence"); |
68
|
|
|
|
|
|
|
|
69
|
|
|
|
|
|
|
=head1 DESCRIPTION |
70
|
|
|
|
|
|
|
|
71
|
|
|
|
|
|
|
Does your random-number generating function output the distribution you expect? |
72
|
|
|
|
|
|
|
Now you can find out! This module performs a chi-squared test at the specified |
73
|
|
|
|
|
|
|
confidence interval. |
74
|
|
|
|
|
|
|
|
75
|
|
|
|
|
|
|
=head1 EXPORTS |
76
|
|
|
|
|
|
|
|
77
|
|
|
|
|
|
|
=over |
78
|
|
|
|
|
|
|
|
79
|
|
|
|
|
|
|
=item dist_ok |
80
|
|
|
|
|
|
|
|
81
|
|
|
|
|
|
|
dist_ok(@results, @probabilities, $confidence, |
82
|
|
|
|
|
|
|
"results match probabilities with confidence $confidence"); |
83
|
|
|
|
|
|
|
|
84
|
|
|
|
|
|
|
=back |
85
|
|
|
|
|
|
|
|
86
|
|
|
|
|
|
|
=head1 AUTHOR |
87
|
|
|
|
|
|
|
|
88
|
|
|
|
|
|
|
Miles Gould, E<lt>mgould@cpan.orgE<gt> |
89
|
|
|
|
|
|
|
|
90
|
|
|
|
|
|
|
=head1 CONTRIBUTING |
91
|
|
|
|
|
|
|
|
92
|
|
|
|
|
|
|
This module is currently distributed along with Games::Dice::Loaded. |
93
|
|
|
|
|
|
|
Please fork |
94
|
|
|
|
|
|
|
L<the GitHub repository|http://github.com/pozorvlak/Games-Dice-Loaded>. |
95
|
|
|
|
|
|
|
|
96
|
|
|
|
|
|
|
=head1 COPYRIGHT AND LICENSE |
97
|
|
|
|
|
|
|
|
98
|
|
|
|
|
|
|
Copyright (C) 2011 by Miles Gould |
99
|
|
|
|
|
|
|
|
100
|
|
|
|
|
|
|
This library is free software; you can redistribute it and/or modify |
101
|
|
|
|
|
|
|
it under the same terms as Perl itself, either Perl version 5.12.4 or, |
102
|
|
|
|
|
|
|
at your option, any later version of Perl 5 you may have available. |
103
|
|
|
|
|
|
|
|
104
|
|
|
|
|
|
|
=head1 SEE ALSO |
105
|
|
|
|
|
|
|
|
106
|
|
|
|
|
|
|
=over |
107
|
|
|
|
|
|
|
|
108
|
|
|
|
|
|
|
=item L<Statistics::ChiSquared> (only handles even distributions). |
109
|
|
|
|
|
|
|
|
110
|
|
|
|
|
|
|
=item L<Statistics::Distributions> (used internally by this module). |
111
|
|
|
|
|
|
|
|
112
|
|
|
|
|
|
|
=back |
113
|
|
|
|
|
|
|
|
114
|
|
|
|
|
|
|
=cut |