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Diffstat (limited to 'lib/Statistics/Distrib')
-rw-r--r-- | lib/Statistics/Distrib/Normal.pm | 438 |
1 files changed, 0 insertions, 438 deletions
diff --git a/lib/Statistics/Distrib/Normal.pm b/lib/Statistics/Distrib/Normal.pm deleted file mode 100644 index 58cf737..0000000 --- a/lib/Statistics/Distrib/Normal.pm +++ /dev/null @@ -1,438 +0,0 @@ -# -# Author: Peter J. Acklam -# Time-stamp: 2000-06-02 23:42:57 -# E-mail: pjacklam@online.no -# URL: http://home.online.no/~pjacklam - -=head1 NAME - -Statistics::Distrib::Normal - the normal distribution - -=head1 SYNOPSIS - - use Statistics::Distrib::Normal; - - $dist = new Statistics::Distrib::Normal; - - $dist->mu(3); # set the location parameter - $dist->sigma(5); # set the scale parameter - @x = $dist->rand(10); # generate random numbers - - # or - - @x = Statistics::Distrib::Normal->new(Mu => 3, Sigma => 5)->rand(10); - -=head1 DESCRIPTION - -This module contains miscellaneous functions related to the normal -distribution. - -=cut - -package Statistics::Distrib::Normal; -require 5.000; - -use strict; -use vars qw($VERSION); -use Carp; - -$VERSION = '0.01'; - -use constant PI => 4 * atan2 1, 1; -use constant TWOPI => 2 * PI; - -# the smallest positive floating-point number such that 1+EPS > 1 -use constant EPS => 2.220446049250313080847263336181640625e-016; - -## -## Constructor -## - -=head1 CONSTRUCTOR - -=over 4 - -=item new ( [ OPTIONS ] ) - -C<OPTIONS> is a list of options given in the form of key-value -pairs, just like a hash table. Valid options are - -=over 8 - -=item B<Mu> - -Sets the mu parameter (the mean) of the distribution to the specified -value. - -=item B<Sigma> - -Sets the sigma parameter (the standard deviation) of the distribution -to the specified value. - -=back - -=back - -=cut - -sub new { - my $self = shift; - my $class = ref($self) || $self; - my %arg = @_; - - my %hash = ( mu => 0, - sigma => 1, - ); - - my $me = bless \%hash, $class; - - foreach my $key ( keys %arg ) { - $me->mu($arg{Mu}), next if $key eq 'Mu'; - $me->sigma($arg{Sigma}), next if $key eq 'Sigma'; - carp "Unknown option $arg{$key} ignored"; - } - - return $me; -} - -## -## Methods -## - -=pod - -=head1 METHODS - -=over 4 - -=item mean ( [ MEAN ] ) - -Set the mu parameter (the mean) of the distribution to C<MU>. If -C<MU> is omitted, the current value of mu is returned. - -=cut - -sub mu { - my $me = shift; - croak 'Too many arguments' if @_ > 1; - if ( @_ ) { - $me->{mu} = shift; - return 1; - } - return $me->{mu}; -} - -=pod - -=item sigma ( [ SDEV ] ) - -Set the sigma parameter (the standard deviation) of the distribution -to C<SIGMA>. If C<SIGMA> is omitted, the current value of sigma is -returned. - -=cut - -sub sigma { - my $me = shift; - croak 'Too many arguments' if @_ > 1; - if ( @_ ) { - my $sigma = shift; - croak 'Standard deviation most be positive' unless $sigma > 0; - $me->{sigma} = $sigma; - return 1; - } - return $me->{sigma}; -} - -=pod - -=item pdf ( X1 [, X2 [, X3 ... ] ] ) - -Evaluate the probability density function at C<X1>, C<X2>, C<X3>, ... - -=cut - -sub pdf { - my $me = shift; - croak 'Not enough arguments' unless @_; - my $mu = $me->{mu}; - my $sigma = $me->{sigma}; - my $const = log(TWOPI * $sigma * $sigma); - my @f; - foreach my $x ( @_ ) { - my $z = ( $x - $mu ) / $sigma; - push @f, exp( -0.5 * ( $const + $z*$z ) ); - } - return @f; -} - -=pod - -=item ltp ( X1 [, X2 [, ... ] ] ) - -Evaluate the lower tail probability function at C<X1>, C<X2>, C<X3>, -... - -=cut - -sub ltp { - my $me = shift; - croak 'Not enough arguments' unless @_; - my $mu = $me->{mu}; - my $sigma = $me->{sigma}; - - require Math::SpecFun::Erf; - import Math::SpecFun::Erf qw(erfc); - - my @p; - foreach my $x ( @_ ) { - my $z = ( $x - $mu ) / $sigma; - push @p, erfc( - $_[0] / sqrt(2) )/2; - } - return @p; -} - -=pod - -=item utp ( X1 [, X2 [, ... ] ] ) - -Evaluate the upper tail probability function at C<X1>, C<X2>, C<X3>, -... - -=cut - -sub utp { - my $me = shift; - croak 'Not enough arguments' unless @_; - my $mu = $me->{mu}; - my $sigma = $me->{sigma}; - - require Math::SpecFun::Erf; - import Math::SpecFun::Erf qw(erfc); - - my @p; - foreach my $x ( @_ ) { - my $z = ( $x - $mu ) / $sigma; - push @p, erfc( $_[0] / sqrt(2) )/2; - } - return @p; -} - -=pod - -=item ltq ( P1 [, P2 [, ... ] ] ) - -Returns the lower tail quantile for the probabilities C<P1>, C<P2>, -C<P3>, ... - -=cut - -sub ltq { - croak 'Method not implemented yet'; -} - -=pod - -=item utq ( P1 [, P2 [, P3 ... ] ] ) - -Returns the upper tail quantile for the probabilities C<P1>, C<P2>, -C<P3>, ... - -=cut - -sub utq { - croak 'Method not implemented yet'; -} - -=pod - -=item intprob( XLOW, XHIGH ) - -Interval probability. Returns the probability of an outcome in the -interval from XLOW to XHIGH. - -=cut - -sub intprob { - my $me = shift; - croak 'Bad number of arguments' unless @_ == 2; - my ($xlow, $xhigh) = @_; - return 0 unless $xlow < $xhigh; - my $mu = $me->{mu}; - my $sigma = $me->{sigma}; - - if ( $mu < $xlow ) { - return $me->utp($xlow) - $me->utp($xhigh); - } else { - return $me->ltp($xhigh) - $me->ltp($xlow); - } -} - -=pod - -=item rand( [ NUM ] ) - -Generate random variables. If C<NUM> is omitted, a single variable is -returned. - -=cut - -sub rand { - my $me = shift; - my $num; - if ( @_ ) { - $num = shift; - croak 'Too many arguments' if @_; - croak 'Argument must be positive integer' - unless ($num == int $num) && ($num > 0); - } else { - $num = 1; - } - - # Generate the random variables by the Box-Muller method. - my @z; - my $mu = $me->{mu}; - my $sigma = $me->{sigma}; - my $const = -2 * $sigma * $sigma; - my $i; - for ( $i = 0 ; $i < $num ; $i += 2 ) { - my $r = sqrt $const * log rand; - my $t = TWOPI * rand; - push @z, $mu + $r * sin $t, $mu + $r * cos $t; - } - pop @z if $i > $num; - return @z; -} - -=pod - -=item expectation () - -Return the expectation of the distribution. - -=cut - -sub expectation { - my $me = shift; - croak 'Too many arguments' if @_; - return $me->{mu}; -} - -=pod - -=item variance () - -Return the variance of the distribution. - -=cut - -sub variance { - my $me = shift; - croak 'Too many arguments' if @_; - return $me->{sigma}**2; -} - -=pod - -=item skewness () - -Return the skewness of the distribution. - -=cut - -sub skewness { - my $me = shift; - croak 'Too many arguments' if @_; - return 0; -} - -=pod - -=item kurtosis () - -Return the kurtosis (normalized) of the distribution. - -=cut - -sub kurtosis { - my $me = shift; - croak 'Too many arguments' if @_; - return 0; -} - -=item dmo - -Direct moments for the distribution. - -Not implemented yet. - -=cut - -sub dmo { - croak 'Method not implemented yet'; -} - -=pod - -=item cmo - -Central moments for the distribution. - -=cut - -sub cmo { - croak 'Method not implemented yet'; -} - -=pod - -=item mode () - -Returns the mode of the distribution. - -=cut - -sub mode { - my $me = shift; - croak 'Too many input arguments' if @_; - return $me->{mu}; -} - -=back - -=head1 BUGS - -None known. - -=head1 LIMITATIONS - -Degenerate cases are not allowed for most methods; e.g., a -distribution with zero variance. - -=head1 HISTORY - -=over 4 - -=item Version 0.02 - -Code formatting changes. - -=item Version 0.01 - -First release. - -=back - -=head1 AUTHOR - -Peter J. Acklam E<lt>pjacklam@online.noE<gt>. - -=head1 COPYRIGHT/LICENSE - -Copyright (c) 1999-2000 Peter J. Acklam. All rights reserved. -This program is free software; you can redistribute it and/or -modify it under the same terms as Perl itself. - -=cut - -1; # Modules must return true. |