Trenton New Jersey Statistics

Statistics::RankOrder contains algorithms for determining overall rankings from a panel of judges. SYNOPSIS use Statistics::RankOrder; my $r = Statistics::RankOrder->new(); $r->add_judge( [qw( A B C )] ); $r->add_judge( [qw( A C B )] ); $r->add_judge( [qw( B A C )] ); my %ranks =...

Statistics::ChiSquare - How well-distributed is your data? SYNOPSIS use Statistics::Chisquare; print chisquare(@array_of_numbers); Statistics::ChiSquare is available at a CPAN site near you. Suppose you flip a coin 100 times, and it turns up heads 70 times. Is the coin fair? Suppose...

Statistics::SPC is a Perl module with calculations for Stastical Process Control (SPC). Creates thresholds based on the variability of all data, # of samples not meeting spec, and variablity within sample sets, all from training data. Note: this is only accurate for data which is normally...


Platforms: *nix

Statistics::Smoothing::SGT is a Simple Good-Turing (SGT) smoothing implementation. SYNOPSIS Basic Usage use Statistics::Smoothing::SGT my $sgt = new Statistics::Smoothing::SGT($frequencyClasses, $total); $sgt->calculateValues(); $probabilities = $sgt->getProbabilities(); $newFrequencies...


Platforms: *nix

Statistics::Contingency is a Perl module to calculate precision, recall, F1, accuracy, etc. SYNOPSIS use Statistics::Contingency; my $s = new Statistics::Contingency(categories => @all_categories); while (...something...) { ... $s->add_result($assigned_categories, $correct_categories);...


Platforms: *nix

Candidates is a Perl5 module for manipulating candidate features (help module for Statistics::MaxEntropy). SYNOPSIS use Statistics::Candidates; # create a new candidates object and read candidate features $candidates = Statistics::Candidates->new($some_file); # checks for constant...


Platforms: *nix

Statistics::Cluto package contains Perl binding for CLUTO. SYNOPSIS use Statistics::Cluto; use Data::Dumper; my $c = new Statistics::Cluto; $c->set_dense_matrix(4, 5, [ [8, 8, 0, 3, 2], [2, 9, 9, 1, 4], [7, 6, 1, 2, 3], [1, 7, 8, 2, 1] ]); $c->set_options({ rowlabels => [ row0,...


Platforms: *nix

amavisd-new is a high-performance and reliable interface between mailer (MTA) and one or more content checkers: virus scanners, and/or Mail::SpamAssassin Perl module. amavisd-new is written in Perl, ensuring high portability, reliability and maintainability. It talks to MTA via (E)SMTP or LMTP...


Platforms: *nix

Perl IRC Statistics Generator (pisg) is an IRC channel statics generator written in Perl, it creates statistics from different logfile formats. It was originally written because IRCStats wasnt open source. So heres an open source/GPLed version to anyone interested. Its a funny thing for your...


Platforms: *nix

Statistics::GammaDistribution Perl module represents a gamma distribution. SYNOPSIS use Statistics::GammaDistribution; my $g = Statistics::GammaDistribution->new(); $g->set_order(8.5); print $g->rand(1.0); my @alpha = (0.5,4.5,20.5,6.5,1.5,0.5); my @theta = $g->dirichlet_dist(@alpha);...


Platforms: *nix

Statistics::Descriptive::Discrete is a Perl module to compute descriptive statistics for discrete data sets. SYNOPSIS use Statistics::Descriptive::Discrete; my $stats = new Statistics::Descriptive::Discrete; $stats->add_data(1,10,2,0,1,4,5,1,10,8,7); print "count = ",$stats->count(),"n";...


Platforms: *nix

Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) = $lineFit->coefficients(); defined $intercept or die...


Platforms: *nix

Statistics::SDT Perl package contains signal detection theory measures of sensitivity and response-bias. SYNOPSIS use Statistics::SDT; $sdt = Statistics::SDT->new( { hits => 50, signal_trials => 50, false_alarms => 17, noise_trials => 25, correct => 2, } ); $d =...


Platforms: *nix

Statistics::OLS is a Perl module to perform ordinary least squares and associated statistics. SYNOPSIS use Statistics::OLS; my $ls = Statistics::OLS->new(); $ls->setData (@xydataset) or die( $ls->error() ); $ls->setData (@xdataset, @ydataset); $ls->regress(); my ($intercept, $slope)...


Platforms: *nix

Statistics::GaussHelmert is a general weighted least squares estimation module. SYNOPSIS use Statistics::GaussHelmert; # create an empty model my $estimation = new Statistics::GaussHelmert; # setup the model given observations $y, covariance matrices # $Sigma_yy, an initial guess $b0...


Platforms: *nix

Statistics::LTU is an implementation of Linear Threshold Units. SYNOPSIS use Statistics::LTU; my $acr_ltu = new Statistics::LTU::ACR(3, 1); # 3 attributes, scaled $ltu->train([1,3,2], $LTU_PLUS); $ltu->train([-1,3,0], $LTU_MINUS); ... print "LTU looks like this:n"; $ltu->print;...


Platforms: *nix

Statistics::ChisqIndep is a Perl module to perform chi-square test of independence (a.k.a. contingency tables). Synopsis #example for Statistics::ChisqIndep use strict; use Statistics::ChisqIndep; use POSIX; # input data in the form of the array of array references my @obs = ([15, 68,...


Platforms: *nix

Statistics::PointEstimation is a Perl module for computing confidence intervals in parameter estimation with Students T distribution. Statistics::PointEstimation::Sufficient - Perl module for computing the confidence intervals using sufficient statistics SYNOPSIS # example for...


Platforms: *nix

Statistics::TTest is a Perl module to perform T-test on 2 independent samples. Statistics::TTest::Sufficient - Perl module to perfrom T-Test on 2 indepdent samples using sufficient statistics SYNOPSIS #example for Statistics::TTest use Statistics::PointEstimation; use Statistics::TTest;...


Platforms: *nix

OLAP Statistics & Reporting for SharePoint enables you to connect to a SharePoint list, task or calendar and explore data in a multi-dimensional grid, pivot tables, filters, and graph or chart view. You can run this OLAP analysis tool on on each SharePoint list, with its own unique set of fields....


Platforms: Windows