NAME
Statistics::Cook - Statistics::Cook
VERSION
version 0.0.1
SYNOPSIS
use Statistics::Cook;
my @x = qw/1 2 3 4 5 6/;
my @y = qw/1 2.1 3.2 4 7 6/;
my $sc = Statistics::Cook->new(x => \@x, y => \@y);
($intercept, $slope) = $sc->coefficients;
my @predictedYs = $sc->fitted;
my @residuals = $sc->residuals;
my @cooks = $sc->cooks_distance;DESCRIPTION
The Statistics::Cook module is used to calculate cook distance of Least squares line fit does weighted or unweighted to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the module, the predicted y values and the residuals of the y values. (See the METHODS section for a description of these statistics.)
The module accepts input data in separate x and y arrays. The optional weights are input in a separate array The module is state-oriented and caches its results. you can call the other methods in any order or call a method several times without invoking redundant calculations.
NAME
Statistics::Cook - calculate cook distance of Least squares line fit
LIMITATIONS
The purpose of I write this module is that I could not find a module to calculate cook distance in CPAN, Therefore I just realized a minimized function of least squares and cook distance in this module
ATTRIBUTES
x
y
weight
slope
intercept
regress_done
METHODS
_trigger_x
_trigger_y
regress
computeSums
coefficients
fitted
residuals
cooks_distance
N
AUTHOR
Yan Xueqing <yanxueqing621@163.com>
COPYRIGHT AND LICENSE
This software is copyright (c) 2015 by Yan Xueqing.
This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.