Statistics::MVA::HotellingTwoSample - Two-Sample Hotelling's T-Square Test Statistic.
This document describes Statistics::MVA::HotellingTwoSample version 0.0.2
use Statistics::MVA::HotellingTwoSample; # we have two groups of data each with 4 variables and 9 observations. my $data_x = [ [qw/ 292 222 52 57/], [qw/ 100 227 51 45/], [qw/ 272 218 49 36/], [qw/ 101 221 17 47/], [qw/ 181 208 12 35/], [qw/ 111 118 51 54/], [qw/ 288 321 51 49/], [qw/ 286 219 52 45/], [qw/ 262 225 47 44/], ]; my $data_y = [ [qw/ 286 107 29 62/], [qw/ 311 122 29 63/], [qw/ 272 131 52 86/], [qw/ 182 88 23 69/], [qw/ 211 118 61 57/], [qw/ 323 127 51 79/], [qw/ 385 332 70 63/], [qw/ 373 127 85 60/], [qw/ 408 95 57 71/], ]; # Create a Statistics::MVA::HotellingTwoSample object and pass the data as two Lists-of-Lists within an anonymous array. my $mva = Statistics::MVA::HotellingTwoSample->new([ $data_x, $data_y ]); # Generate results and print a report to STDOUT by calling hotelling_two_sample in void context. $mva->hotelling_two_sample; # Call hotelling_two_sample in LIST-context to access the results directly. my ($T2, $F, $pval, $df1, $df2) = $mva->hotelling_two_sample;
Hotelling's T-square statistics is a generalisation of Student's t statistic that is used for multivariate hypothesis testing. See http://en.wikipedia.org/wiki/Hotelling%27s_T-square_distribution.
'Statistics::MVA' => '0.0.1', 'Carp' => '1.08', 'Statistics::Distributions' => '1.02',
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Daniel S. T. Hughes
Copyright (c) 2010, Daniel S. T. Hughes
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