AstroStat—A VO tool for statistical analysis
AstroStat is an easy-to-use tool for performing statistical analysis on data. It has been designed to be compatible with Virtual Observatory (VO) standards thus enabling it to become an integral part of the currently available collection of VO tools. A user can load data in a variety of formats into AstroStat and perform various statistical tests using a menu driven interface. Behind the scenes, all analyses are done using the public domain statistical software—R and the output returned is presented in a neatly formatted form to the user. The analyses performable include exploratory tests, visualizations, distribution fitting, correlation & causation, hypothesis testing, multivariate analysis and clustering. The tool is available in two versions with identical interface and features—as a web service that can be run using any standard browser and as an offline application. AstroStat will provide an easy-to-use interface which can allow for both fetching data and performing power statistical analysis on them.
© 2015 Elsevier B.V. Received 5 May 2014, Revised 31 October 2014, Accepted 17 February 2015, Available online 7 March 2015. The authors would like to thank Kiran Jappanwar for help with the development of the original TAP module; Somak Raichaudhary and Peter Tino, whose ideas helped to shape the interface of the tool; and Sajeeth Philip and Sudhanshu Barway who helped to test the tool on a large scale and provided valuable feedback. Well before IUCAA took over the current development, the initial VOStat work was done at Caltech. AAM acknowledges the support of National Science Foundation (NSF) grant DMS-0101360. SG Djorgovski and MJ Graham also contributed to the initial design. The VO—India project is a collaboration between the Inter-University Centre for Astronomy and Astrophysics and Persistent Systems Ltd., under which AstroStat has been developed, is partially funded by the Ministry of Communications and Information Technology of the Government of India (DeitY/R&D/TDC/13(4)/2009). Kaustubh acknowledges financial assistance provided by the Council of Scientific and Industrial Research (CSIR), India (09/545(0036)/2009-EMR-I).
Submitted - 1503.02989v1.pdf