Statistics R Squared

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::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

R is a language and environment for statistical computing and graphics. R is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different... Platforms: *nix

[coef, RSquared]=plotfit(x,y,polyorder)A simple function that accepts x,y data pairs in in the vectors "x" and "y", fits it to a polynomial of order "polyorder", plots the data and the fit, and displays the fit coefficients and the goodness-of-fit measure R-squared in the upper left corner of the... Platforms: Matlab

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to... Platforms: Matlab

From undergraduate chemistry, we know how to test whether a reaction is 0th, 1st, or 2nd order by plotting different transformations of the data, and inspecting which plot fits the best.This program does the same thing. It transforms the data using different values of the order, attempting to... Platforms: Matlab

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 =... Platforms: *nix

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... Platforms: *nix

Statistics::ROC is a Perl module with receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds. SYNOPSIS use Statistics::ROC; my ($y) = loggamma($x); my ($y) = betain($x, $p, $q, $beta); my ($y) = Betain($x, $p, $q); my ($y) = xinbta($p, $q, $beta, $alpha); my... Platforms: *nix

Statistics::Distributions is a Perl module for calculating critical values and upper probabilities of common statistical distributions. SYNOPSIS use Statistics::Distributions; $chis=Statistics::Distributions::chisqrdistr (2,.05); print "Chi-squared-crit (2 degrees of freedom, 95th... 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

Demo files from the 30 August 2007 Webinar - Reliability Analysis and Robust Design using MATLAB(R) Products"Webinar direct link: http://www.mathworks.com/wbnr14894You will need MATLAB and Statistics Toolbox, Optimization Toolbox, and Simulink to run the Demo. Platforms: Matlab

EZ-R Stats for Windows is an audit software tool for the auditor which can be used for fraud detection. Some of the key tools include testing conformity with Benford's law in order to identify unusual data distributions, procedures for quantifying population characteristics such as... Platforms: Windows

Statistics::Forecast is a Perl module that calculates a future value. This is a dummy Oriented Object module that calculates a future value by using existing values. The new value is calculated by using linear regression. SYNOPSIS use Statistics::Forecast; Create forecast object my... Platforms: *nix

Statistics::Gap Perl module is an adaptation of the Gap Statistic. SYNOPSIS use Statistics::Gap; $predictedk = &gap("prefix", "vec", INPUTMATRIX, "rbr", "h2", 30, 10, rep, 90, 4); OR use Statistics::Gap; $predictedk = &gap("prefix", "vec", INPUTMATRIX, "rbr", "h2", 30, 10, rep, 90, 4,... Platforms: *nix

X-ITEC CMS/R project is a German content management system. Whats New in This Release: - More than 200 new features.. X-ITEC IT-Consulting entwickelt individuelle Softwarelosungen fur den Mittelstand. Wir entwickeln intelligente und vor allem angenehme und moderne Losungen, die Sie gerne... Platforms: *nix

Statistics::Descriptive is a Perl module of basic descriptive statistical functions. SYNOPSIS use Statistics::Descriptive; $stat = Statistics::Descriptive::Full->new(); $stat->add_data(1,2,3,4); $mean = $stat->mean(); $var = $stat->variance(); $tm = $stat->trimmed_mean(.25);... Platforms: *nix

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