Search Results for "free statistical analysis software"

The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org

TOPS provides the benchtop scientist with a free toolset to analyze, filter and visualize data from functional genomic gene-gene and gene-drug interaction screens with a flexible interface to accommodate various different technologies and analysis algorithms in addition to those already provided here.

GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software (https://www.virtualbox.org/) on your Linux, Windows or Mac computer. ...

GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.

ANOSE is a web application (a web site) that allows software engineers to collect information about software projects and perform statistical analysis on the data collected. A key goal in ANOSE is to provide an easy to use user interface and efficient da

Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).

For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.