Computer Science – Graphics
Scientific paper
May 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...204.7601f&link_type=abstract
American Astronomical Society Meeting 204, #76.01; Bulletin of the American Astronomical Society, Vol. 36, p.806
Computer Science
Graphics
Scientific paper
A long-standing limitation on the range and sophistication of statistical analysis of astronomical data has been the paucity of non-proprietary software. Our StatCodes Web metasite (http://www.astro.psu.edu/statcodes) has provided links to statistical programs and packages useful to astronomers and other physical scientists, but this collection is heterogeneous and quite incomplete. A more comprehensive and coherent data and statistical analysis environment has recently emerged in the open source R package (http://www.r-project.org) and its associated CRAN archive of add-on packages (http://lib.stat.cmu.edu/R/CRAN). Together, they provide hundreds of statistical functionalities, both simple and advanced, in a programmable data analysis environment with graphics and flexible links to external programs, languages, and databases. We outline these capabilities covering multivariate analysis and classification, parametric and non-parametric tests, regression and smoothing, survival analysis, time series analysis, and spatial analysis. Some of these R functionalities are implemented in our VOStatistics Web service. This work is supported in part by the NSF grant DMS-0101360.
Babu Jogesh
Djorgovski Stanislav G.
Feigelson Eric D.
Graham Maggie
Mahabal Ashish A.
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