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 ( http://astrostatistics.psu.edu/datasets). 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.


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install.packages("astrodatR")

0.1 by Eric D., Feigelson, 6 years ago


Browse source code at https://github.com/cran/astrodatR


Authors: Eric D. Feigelson


Documentation:   PDF Manual  


Task views: Chemometrics and Computational Physics


GPL license



See at CRAN