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Text::NSP::Measures::2D::Fisher2::twotailed 1.03

  Date Added: February 20, 2010  |  Visits: 613

Text::NSP::Measures::2D::Fisher2::twotailed

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Text::NSP::Measures::2D::Fisher2::twotailed is a Perl module implementation of the two-sided Fishers exact test. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::Fisher2::twotailed; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $twotailed_value = calculateStatistic( n11=>$n11, n1p=>$n1p, np1=>$np1, npp=>$npp); if( ($errorCode = getErrorCode())) { print STDERR $errorCode." - ".getErrorMessage(); } else { print getStatisticName."value for bigram is ".$twotailed_value; } This module provides a naive implementation of the fishers twotailed exact tests. That is the implementation does not have any optimizations for performance. This will compute the factorials and the hypergeometric measures using direct multiplications. This measure should be used if you need exact values without any rounding errors, and you are not worried about the performance of the measure, otherwise use the implementations under the Text::NSP::Measures::2D::Fisher module. To use this implementation, you will have to specify the entire module name. Usage: statistic.pl Text::NSP::Measures::Fisher2::twotailed dest.txt source.cnt Assume that the frequency count data associated with a bigram < word1 >< word2 > is stored in a 2x2 contingency table: word2 ~word2 word1 n11 n12 | n1p ~word1 n21 n22 | n2p -------------- np1 np2 npp where n11 is the number of times < word1 >< word2 > occur together, and n12 is the number of times < word1 > occurs with some word other than word2, and n1p is the number of times in total that word1 occurs as the first word in a bigram. The fishers exact tests are calculated by fixing the marginal totals and computing the hypergeometric probabilities for all the possible contingency tables, A twotailed fishers test is calculated by adding the probabilities of all the contingency tables with probabilities less than the probability of the observed table. The twotailed fishers test tells us how likely it would be to observe an contingency table which is less prpbable than the current table..

Requirements: No special requirements
Platforms: Linux
Keyword: Exact Fishers Implementation Libraries Module Nsp Perl Module Programming Two-sided
Users rating: 0/10

License: Freeware Size: 952.32 KB
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