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Statistical Analysis for the Virtual Observatory
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VOStat is a simple statistical web-service that lets you analyse your data without the hassle of downloading or installing any software. All that you have to do basically is to upload your data to the VOStat server (at Penn State University) and download the results!
Here is a brief walk through:
VOStat can perform a variety of analyses including plotting, summarization, fitting distribution, regression, many different statistical testing, multivariate techniques. VOStat can produce interactive 3D graphics. There are special techniques for directional and spatial data. [Details...]
Behind the scene VOStat uses R, which is the largest public-domain statistical software in the world, supported by its exponentially growing repository called Comprehensive R Archive Network (CRAN). VOStat uploads data from the user, constructs an R script based on the user's specification, applies the script to the data, and hands the output back to the user. Simple!
We have created VOStat wih two goals in mind:
Since the entire computation is done in our server, there is no requirement in terms of available space on your local machine.
SAMP comminication needs trusted applets. When you come to a SAMP-enabled page (e.g., [up/down]loading data) for the first time you will see a certificate like the following.
You need to allow it to run in order to establish SAMP communication. The rest of VOStat will still work even if you do not allow the signed applet to run.
VOStat Version 2.0 (June 2011) is a VO-compliant Web service developed by the Center for Astrostatistics (Pennsylvania State University) under NSF grant AST-1047586 (Prof. G. Jogesh Babu, PI). The lead developer is Dr. Arnab Chakraborty (statistician presently at the Indian Statistical Institute, Kolkata India). VOStat was originally developed by a research team led by Pennsylvania State University that included members from California Institute of Technology and Carnegie Mellon University, and supported by National Science Foundation's Focused Research Group grant (DMS-0101360, G. J. Babu, PI).
Disclaimer: Penn State University disclaims any warranties, including the implied warranties or merchantability and fitness for a particular purpose. The software and documentation provided hereunder is on an "as is" basis, and Penn State University has no obligations to provide maintenance, support, updates, enhancements or modifications.