Multivariate Statistics Analysis

exploRase was specially designed as an Open Source R-based instrument for the exploratory multivariate analysis of Systems Biology data. It provides a GUI on top of the analysis functionality provided by R and the Bioconductor project. exploRase is designed to be accessible to biologists... Platforms: Windows

Learn and calculate tedius and difficult Statistics formulas accurately and with ease. Combinatorics, probabilities, expected values, confidence intervals, data analysis, hypothesis testing, and more! Also useful for Discrete Mathematics. - Improved behavior in the data analysis table Platforms: Mac

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

OLAP Statistics & Reporting for Microsoft SharePoint is a powerful and reliable solution designed to enable you to connect to a SharePoint list, task or calendar and explore data in a multi-dimensional grid, pivot tables, filters, graph or chart view. With the capability of complex... Platforms: Windows

Bibro can tell you who, why and when visit your site. This program is very powerful, use filters (so you can choose statistics to analysis not only by time) and has modular structure. Platforms: Windows, Mac, Linux

The first open source Web 2.0 website log analyzer, OWS uses PHP and jQuery to provide a powerful and intuitive interface to manipulate website log data stored in a MySQL database. Has a simple plugin system so you can create custom output as well. This program is called Obsessive Web Statistics... Platforms: Windows, Mac, *nix, PHP, BSD Solaris

This script is a Python module implementing a class which can be used for computing numerical statistics for a given data set.This recipe implements a descriptive statistical analysis class. It's intended to aid in computing numerical statistics for a given data set. It's well documented and... Platforms: Windows, Mac, *nix, Python, BSD Solaris

AWSTATS Multiple Site Statistics Viewer is a PHP addon for AWSTATS to allow viewing of statistics for multiple domains on a single dynamic page. Platforms: Windows, Mac, *nix, PHP, BSD Solaris

he zip file contains the demo shown on August 10, 2006 for the Webinar titled "Data Analysis with MATLAB Products". The demo requires Signal Processing and Statistics Toolboxes. It is recommended that the webinar is viewed prior to running the files contained in this download. The Webinar can be... Platforms: Matlab

Statistics fundamentals of the Correspondence Analysis (CA) is presented in the CORRAN and MCORRAN1 m-files you can find in this FEX author''s page. CA can be extended to more than two categorical variables, called Multiple Correspondence Analysis (MCA). CA and MCA are graphical techniques for... Platforms: Matlab

Graphical user interface driven first-order multivariate calibration using up-to-date methods, including PCR, PLS, net analyte methods and ortoghonal signal correction. Provides a variety of pre-processing tools, cross-validation plots, prediction plots, elliptical joint region plots, net analyte... Platforms: Matlab

AlterWind Log Analyzer Lite is free web log analysis software. It quickly generates all traditional reports. Use this user-friendly software to grab web server logs (all formats supported) and build graphically-rich self-explanatory reports on web site usage statistics, referring sites, traffic... Platforms: Windows

Stock Price Analysis provide a free web based stock price analysis module. The easy to use interface incorporates Fundamental Analysis to calculate: Fair Value stock price; comparative stock Value; profit Target sell price; Stop Loss sell price; Price Earnings Ratio (PE) for Fair Value and Buy... Platforms: Windows, Mac

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

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::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::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::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