Astronomical Data

A collection of 19 datasets from contemporary astronomical research. They are described the textbook `Modern Statistical Methods for Astronomy with R Applications' by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C) or on the website of Penn State's Center for Astrostatistics ( These datasets can be used to exercise methodology involving: density estimation; heteroscedastic measurement errors; contingency tables; two-sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis; classification and clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1 by Eric D., Feigelson, 6 years ago

Browse source code at

Authors: Eric D. Feigelson

Documentation:   PDF Manual  

Task views: Chemometrics and Computational Physics

GPL license

See at CRAN