/usr/share/perl5/Statistics/Basic/LeastSquareFit.pod is in libstatistics-basic-perl 1.6611-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 | =head1 NAME
Statistics::Basic::LeastSquareFit - find the least square fit for two lists
=head1 SYNOPSIS
A machine to calculate the Least Square Fit of given vectors x and y.
The module returns the alpha and beta filling this formula:
$y = $beta * $x + $alpha
for a given set of I<x> and I<y> co-ordinate pairs.
Say you have the set of Cartesian coordinates:
my @points = ( [1,1], [2,2], [3,3], [4,4] );
The simplest way to find the LSF is as follows:
my $lsf = lsf()->set_size(int @points);
$lsf->insert(@$_) for @points;
Or this way:
my $xv = vector( map {$_->[0]} @points );
my $yv = vector( map {$_->[1]} @points );
my $lsf = lsf($xv, $yv);
And then either query the values or print them like so:
print "The LSF for $xv and $yv: $lsf\n";
my ($yint, $slope) =
my ($alpha, $beta) = $lsf->query;
L<LSF|Statistics::Basic::LeastSquareFit> is meant for finding a line of best
fit. C<$beta> is the slope of the line and C<$alpha> is the y-offset. Suppose
you want to draw the line. Use these to calculate the C<x> for a given C<y> or
vice versa:
my $y = $lsf->y_given_x( 7 );
my $x = $lsf->x_given_y( 7 );
(Note that C<x_given_y()> can sometimes produce a divide-by-zero error since it
has to divide by the C<$beta>.)
Create a 20 point "moving" L<LSF|Statistics::Basic::LeastSquareFit> like so:
use Statistics::Basic qw(:all nofill);
my $sth = $dbh->prepare("select x,y from points where something");
my $len = 20;
my $lsf = lsf()->set_size($len);
$sth->execute or die $dbh->errstr;
$sth->bind_columns( my ($x, $y) ) or die $dbh->errstr;
my $count = $len;
while( $sth->fetch ) {
$lsf->insert( $x, $y );
if( defined( my ($yint, $slope) = $lsf->query ) {
print "LSF: y= $slope*x + $yint\n";
}
# This would also work:
# print "$lsf\n" if $lsf->query_filled;
}
=head1 METHODS
This list of methods skips the methods inherited from
L<Statistics::Basic::_TwoVectorBase> (things like
L<insert()|Statistics::Basic::_TwoVectorBase/insert()>, and
L<ginsert()|Statistics::Basic::_TwoVectorBase/ginsert()>).
=over 4
=item B<new()>
Create a new L<Statistics::Basic::LeastSquareFit> object. This function takes
two arguments -- which can either be arrayrefs or L<Statistics::Basic::Vector>
objects. This function is called when the
L<leastsquarefirt()|Statistics::Basic/leastsquarefit() LSF() lsf()>
shortcut-function is called.
=item B<query()>
L<LSF|Statistics::Basic::LeastSquareFit> is meant for finding a line of best
fit. C<$beta> is the slope of the line and C<$alpha> is the y-offset.
my ($alpha, $beta) = $lsf->query;
=item B<y_given_x()>
Automatically calculate the y-value on the line for a given x-value.
my $y = $lsf->y_given_x( 7 );
=item B<x_given_y()>
Automatically calculate the x-value on the line for a given y-value.
my $x = $lsf->x_given_y( 7 );
C<x_given_y()> can sometimes produce a divide-by-zero error since it
has to divide by the C<$beta>. This might be helpful:
if( defined( my $x = eval { $lsf->x_given_y(7) } ) ) {
warn "there is no x value for 7";
} else {
print "x (given y=7): $x\n";
}
=item B<query_vector1()>
Return the L<Statistics::Basic::Vector> for the first vector used in the
computation of alpha and beta.
=item B<query_vector2()>
Return the L<Statistics::Basic::Vector> object for the second vector used in the
computation of alpha and beta.
=item B<query_mean1()>
Returns the L<Statistics::Basic::Mean> object for the first vector used in the
computation of alpha and beta.
=item B<query_variance1()>
Returns the L<Statistics::Basic::Variance> object for the first vector used in
the computation of alpha and beta.
=item B<query_covariance()>
Returns the L<Statistics::Basic::Covariance> object used in the computation of
alpha and beta.
=back
=head1 OVERLOADS
This object is overloaded. It tries to return an appropriate string for the
calculation, but raises an error in numeric context.
In boolean context, this object is always true (even when empty).
=head1 AUTHOR
Paul Miller C<< <jettero@cpan.org> >>
=head1 COPYRIGHT
Copyright 2012 Paul Miller -- Licensed under the LGPL
=head1 SEE ALSO
perl(1), L<Statistics::Basic>, L<Statistics::Basic::_TwoVectorBase>, L<Statistics::Basic::Vector>
=cut
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