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Manual Reference Pages  -  TEXT::NSP::MEASURES::2D::FISHER2::LEFT (3)

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Text::NSP::Measures::2D::Fisher2::left - Perl module implementation of the left sided
Fisher’s exact test (Deprecated).



Basic Usage

  use Text::NSP::Measures::2D::Fisher2::left;

  my $leftFisher = Text::NSP::Measures::2D::Fisher2::left->new();

  my $npp = 60; my $n1p = 20; my $np1 = 20;  my $n11 = 10;

  $leftFisher_value = $leftFisher->calculateStatistic( n11=>$n11,

  if( ($errorCode = $leftFisher->getErrorCode()))
    print STDERR $erroCode." - ".$leftFisher->getErrorMessage();
    print $leftFisher->getStatisticName."value for bigram is ".$leftFisher_value;


This module provides a naive implementation of the fishers left sided 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: Text::NSP::Measures::Fisher2::left 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 left sided test is calculated by adding the probabilities of all the possible two by two contingency tables formed by fixing the marginal totals and changing the value of n11 to less than the given value. A left sided Fisher’s Exact Test tells us how likely it is to randomly sample a table where n11 is less than observed. In other words, it tells us how likely it is to sample an observation where the two words are less dependent than currently observed.


calculateStatistic() - This method computes the left sided Fishers exact test. INPUT PARAMS : $count_values .. Reference of an array containing
the count values computed by the program.

RETURN VALUES : $left .. Left Fisher value.

getStatisticName() - Returns the name of this statistic INPUT PARAMS : none

RETURN VALUES : $name .. Name of the measure.


Ted Pedersen, University of Minnesota Duluth

Satanjeev Banerjee, Carnegie Mellon University

Amruta Purandare, University of Pittsburgh

Bridget Thomson-McInnes, University of Minnesota Twin Cities

Saiyam Kohli, University of Minnesota Duluth


Last updated: $Id:,v 1.10 2008/03/26 17:24:15 tpederse Exp $






Copyright (C) 2000-2006, Ted Pedersen, Satanjeev Banerjee, Amruta Purandare, Bridget Thomson-McInnes and Saiyam Kohli

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to

    The Free Software Foundation, Inc.,
    59 Temple Place - Suite 330,
    Boston, MA  02111-1307, USA.

Note: a copy of the GNU General Public License is available on the web at <> and is included in this distribution as GPL.txt.

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